{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/chezou/tabula-py/blob/master/examples/tabula_example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Ssv5i7OIn10T"
      },
      "source": [
        "# tabula-py example notebook\n",
        "\n",
        "tabula-py is a tool for convert PDF tables to pandas DataFrame. tabula-py is a wrapper of [tabula-java](https://github.com/tabulapdf/tabula-java), which requires java on your machine. tabula-py also enables you to convert tables in a PDF into CSV/TSV files.\n",
        "\n",
        "tabula-py's PDF extraction accuracy is same as tabula-java or [tabula app](https://tabula.technology/); GUI tool of tabula, so if you want to know the performance of tabula-py, I highly recommend you to try tabula app.\n",
        "\n",
        "tabula-py is good for:\n",
        "- automation with Python script\n",
        "- advanced analytics after converting pandas DataFrame\n",
        "- casual analytics with Jupyter notebook or Google Colabolatory\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "UvnC9oESpIgF"
      },
      "source": [
        "## Check Java environment and install tabula-py\n",
        "\n",
        "tabula-py requires a java environment, so let's check the java environment on your machine."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "colab_type": "code",
        "id": "02CnPUI6mKNc",
        "outputId": "84caa7fe-7970-4da3-b612-6f060a257090"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "openjdk version \"11.0.20\" 2023-07-18\n",
            "OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu120.04)\n",
            "OpenJDK 64-Bit Server VM (build 11.0.20+8-post-Ubuntu-1ubuntu120.04, mixed mode, sharing)\n"
          ]
        }
      ],
      "source": [
        "!java -version"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "JtB6sfV_pYOX"
      },
      "source": [
        "After confirming the java environment, install tabula-py by using pip."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "colab_type": "code",
        "id": "wc52T-1WpfOC",
        "outputId": "c6ad1c06-6156-4ed7-bb6b-797d612287a3"
      },
      "outputs": [],
      "source": [
        "# To be more precisely, it's better to use `{sys.executable} -m pip install tabula-py`\n",
        "!pip install -q tabula-py"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Xp4yGv7BpsIq"
      },
      "source": [
        "Before trying tabula-py, check your environment via tabula-py `environment_info()` function, which shows Python version, Java version, and your OS environment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "colab_type": "code",
        "id": "pda4jjbIp3MN",
        "outputId": "c7a60bac-88a6-429b-a823-f5f47e137176"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Python version:\n",
            "    3.8.10 (default, May 26 2023, 14:05:08) \n",
            "[GCC 9.4.0]\n",
            "Java version:\n",
            "    openjdk version \"11.0.20\" 2023-07-18\n",
            "OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu120.04)\n",
            "OpenJDK 64-Bit Server VM (build 11.0.20+8-post-Ubuntu-1ubuntu120.04, mixed mode, sharing)\n",
            "tabula-py version: 2.7.1.dev6+gd9154b3\n",
            "platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.29\n",
            "uname:\n",
            "    uname_result(system='Linux', node='GARM', release='5.15.90.1-microsoft-standard-WSL2', version='#1 SMP Fri Jan 27 02:56:13 UTC 2023', machine='x86_64', processor='x86_64')\n",
            "linux_distribution: ('Ubuntu', '20.04', 'focal')\n",
            "mac_ver: ('', ('', '', ''), '')\n"
          ]
        }
      ],
      "source": [
        "import tabula\n",
        "\n",
        "tabula.environment_info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "mcy_Aas4qK5Q"
      },
      "source": [
        "## Read a PDF with `read_pdf()` function\n",
        "\n",
        "Let's read a PDF from GitHub. tabula-py can load a PDF or file like object on both local or internet by using `read_pdf()` function."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "q6FGPenCluQz",
        "outputId": "ba22a7c8-45a2-4fb0-8997-82cf80875f99"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "'pages' argument isn't specified.Will extract only from page 1 by default.\n",
            "Aug 27, 2023 2:32:52 PM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider loadDiskCache\n",
            "WARNING: New fonts found, font cache will be re-built\n",
            "Aug 27, 2023 2:32:52 PM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider <init>\n",
            "WARNING: Building on-disk font cache, this may take a while\n",
            "Aug 27, 2023 2:32:53 PM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider <init>\n",
            "WARNING: Finished building on-disk font cache, found 140 fonts\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>mpg</th>\n",
              "      <th>cyl</th>\n",
              "      <th>disp</th>\n",
              "      <th>hp</th>\n",
              "      <th>drat</th>\n",
              "      <th>wt</th>\n",
              "      <th>qsec</th>\n",
              "      <th>vs</th>\n",
              "      <th>am</th>\n",
              "      <th>gear</th>\n",
              "      <th>carb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mazda RX4</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.620</td>\n",
              "      <td>16.46</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Mazda RX4 Wag</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.875</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Datsun 710</td>\n",
              "      <td>22.8</td>\n",
              "      <td>4</td>\n",
              "      <td>108.0</td>\n",
              "      <td>93</td>\n",
              "      <td>3.85</td>\n",
              "      <td>2.320</td>\n",
              "      <td>18.61</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hornet 4 Drive</td>\n",
              "      <td>21.4</td>\n",
              "      <td>6</td>\n",
              "      <td>258.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.08</td>\n",
              "      <td>3.215</td>\n",
              "      <td>19.44</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hornet Sportabout</td>\n",
              "      <td>18.7</td>\n",
              "      <td>8</td>\n",
              "      <td>360.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.15</td>\n",
              "      <td>3.440</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Valiant</td>\n",
              "      <td>18.1</td>\n",
              "      <td>6</td>\n",
              "      <td>225.0</td>\n",
              "      <td>105</td>\n",
              "      <td>2.76</td>\n",
              "      <td>3.460</td>\n",
              "      <td>20.22</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Duster 360</td>\n",
              "      <td>14.3</td>\n",
              "      <td>8</td>\n",
              "      <td>360.0</td>\n",
              "      <td>245</td>\n",
              "      <td>3.21</td>\n",
              "      <td>3.570</td>\n",
              "      <td>15.84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Merc 240D</td>\n",
              "      <td>24.4</td>\n",
              "      <td>4</td>\n",
              "      <td>146.7</td>\n",
              "      <td>62</td>\n",
              "      <td>3.69</td>\n",
              "      <td>3.190</td>\n",
              "      <td>20.00</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Merc 230</td>\n",
              "      <td>22.8</td>\n",
              "      <td>4</td>\n",
              "      <td>140.8</td>\n",
              "      <td>95</td>\n",
              "      <td>3.92</td>\n",
              "      <td>3.150</td>\n",
              "      <td>22.90</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Merc 280</td>\n",
              "      <td>19.2</td>\n",
              "      <td>6</td>\n",
              "      <td>167.6</td>\n",
              "      <td>123</td>\n",
              "      <td>3.92</td>\n",
              "      <td>3.440</td>\n",
              "      <td>18.30</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Merc 280C</td>\n",
              "      <td>17.8</td>\n",
              "      <td>6</td>\n",
              "      <td>167.6</td>\n",
              "      <td>123</td>\n",
              "      <td>3.92</td>\n",
              "      <td>3.440</td>\n",
              "      <td>18.90</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Merc 450SE</td>\n",
              "      <td>16.4</td>\n",
              "      <td>8</td>\n",
              "      <td>275.8</td>\n",
              "      <td>180</td>\n",
              "      <td>3.07</td>\n",
              "      <td>4.070</td>\n",
              "      <td>17.40</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Merc 450SL</td>\n",
              "      <td>17.3</td>\n",
              "      <td>8</td>\n",
              "      <td>275.8</td>\n",
              "      <td>180</td>\n",
              "      <td>3.07</td>\n",
              "      <td>3.730</td>\n",
              "      <td>17.60</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Merc 450SLC</td>\n",
              "      <td>15.2</td>\n",
              "      <td>8</td>\n",
              "      <td>275.8</td>\n",
              "      <td>180</td>\n",
              "      <td>3.07</td>\n",
              "      <td>3.780</td>\n",
              "      <td>18.00</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Cadillac Fleetwood</td>\n",
              "      <td>10.4</td>\n",
              "      <td>8</td>\n",
              "      <td>472.0</td>\n",
              "      <td>205</td>\n",
              "      <td>2.93</td>\n",
              "      <td>5.250</td>\n",
              "      <td>17.98</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Lincoln Continental</td>\n",
              "      <td>10.4</td>\n",
              "      <td>8</td>\n",
              "      <td>460.0</td>\n",
              "      <td>215</td>\n",
              "      <td>3.00</td>\n",
              "      <td>5.424</td>\n",
              "      <td>17.82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Chrysler Imperial</td>\n",
              "      <td>14.7</td>\n",
              "      <td>8</td>\n",
              "      <td>440.0</td>\n",
              "      <td>230</td>\n",
              "      <td>3.23</td>\n",
              "      <td>5.345</td>\n",
              "      <td>17.42</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Fiat 128</td>\n",
              "      <td>32.4</td>\n",
              "      <td>4</td>\n",
              "      <td>78.7</td>\n",
              "      <td>66</td>\n",
              "      <td>4.08</td>\n",
              "      <td>2.200</td>\n",
              "      <td>19.47</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Honda Civic</td>\n",
              "      <td>30.4</td>\n",
              "      <td>4</td>\n",
              "      <td>75.7</td>\n",
              "      <td>52</td>\n",
              "      <td>4.93</td>\n",
              "      <td>1.615</td>\n",
              "      <td>18.52</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Toyota Corolla</td>\n",
              "      <td>33.9</td>\n",
              "      <td>4</td>\n",
              "      <td>71.1</td>\n",
              "      <td>65</td>\n",
              "      <td>4.22</td>\n",
              "      <td>1.835</td>\n",
              "      <td>19.90</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Toyota Corona</td>\n",
              "      <td>21.5</td>\n",
              "      <td>4</td>\n",
              "      <td>120.1</td>\n",
              "      <td>97</td>\n",
              "      <td>3.70</td>\n",
              "      <td>2.465</td>\n",
              "      <td>20.01</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Dodge Challenger</td>\n",
              "      <td>15.5</td>\n",
              "      <td>8</td>\n",
              "      <td>318.0</td>\n",
              "      <td>150</td>\n",
              "      <td>2.76</td>\n",
              "      <td>3.520</td>\n",
              "      <td>16.87</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>AMC Javelin</td>\n",
              "      <td>15.2</td>\n",
              "      <td>8</td>\n",
              "      <td>304.0</td>\n",
              "      <td>150</td>\n",
              "      <td>3.15</td>\n",
              "      <td>3.435</td>\n",
              "      <td>17.30</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Camaro Z28</td>\n",
              "      <td>13.3</td>\n",
              "      <td>8</td>\n",
              "      <td>350.0</td>\n",
              "      <td>245</td>\n",
              "      <td>3.73</td>\n",
              "      <td>3.840</td>\n",
              "      <td>15.41</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Pontiac Firebird</td>\n",
              "      <td>19.2</td>\n",
              "      <td>8</td>\n",
              "      <td>400.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.08</td>\n",
              "      <td>3.845</td>\n",
              "      <td>17.05</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Fiat X1-9</td>\n",
              "      <td>27.3</td>\n",
              "      <td>4</td>\n",
              "      <td>79.0</td>\n",
              "      <td>66</td>\n",
              "      <td>4.08</td>\n",
              "      <td>1.935</td>\n",
              "      <td>18.90</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Porsche 914-2</td>\n",
              "      <td>26.0</td>\n",
              "      <td>4</td>\n",
              "      <td>120.3</td>\n",
              "      <td>91</td>\n",
              "      <td>4.43</td>\n",
              "      <td>2.140</td>\n",
              "      <td>16.70</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Lotus Europa</td>\n",
              "      <td>30.4</td>\n",
              "      <td>4</td>\n",
              "      <td>95.1</td>\n",
              "      <td>113</td>\n",
              "      <td>3.77</td>\n",
              "      <td>1.513</td>\n",
              "      <td>16.90</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Ford Pantera L</td>\n",
              "      <td>15.8</td>\n",
              "      <td>8</td>\n",
              "      <td>351.0</td>\n",
              "      <td>264</td>\n",
              "      <td>4.22</td>\n",
              "      <td>3.170</td>\n",
              "      <td>14.50</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Ferrari Dino</td>\n",
              "      <td>19.7</td>\n",
              "      <td>6</td>\n",
              "      <td>145.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.62</td>\n",
              "      <td>2.770</td>\n",
              "      <td>15.50</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Maserati Bora</td>\n",
              "      <td>15.0</td>\n",
              "      <td>8</td>\n",
              "      <td>301.0</td>\n",
              "      <td>335</td>\n",
              "      <td>3.54</td>\n",
              "      <td>3.570</td>\n",
              "      <td>14.60</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Volvo 142E</td>\n",
              "      <td>21.4</td>\n",
              "      <td>4</td>\n",
              "      <td>121.0</td>\n",
              "      <td>109</td>\n",
              "      <td>4.11</td>\n",
              "      <td>2.780</td>\n",
              "      <td>18.60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Unnamed: 0   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  \\\n",
              "0             Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1   \n",
              "1         Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1   \n",
              "2            Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1   \n",
              "3        Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0   \n",
              "4     Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0   \n",
              "5               Valiant  18.1    6  225.0  105  2.76  3.460  20.22   1   0   \n",
              "6            Duster 360  14.3    8  360.0  245  3.21  3.570  15.84   0   0   \n",
              "7             Merc 240D  24.4    4  146.7   62  3.69  3.190  20.00   1   0   \n",
              "8              Merc 230  22.8    4  140.8   95  3.92  3.150  22.90   1   0   \n",
              "9              Merc 280  19.2    6  167.6  123  3.92  3.440  18.30   1   0   \n",
              "10            Merc 280C  17.8    6  167.6  123  3.92  3.440  18.90   1   0   \n",
              "11           Merc 450SE  16.4    8  275.8  180  3.07  4.070  17.40   0   0   \n",
              "12           Merc 450SL  17.3    8  275.8  180  3.07  3.730  17.60   0   0   \n",
              "13          Merc 450SLC  15.2    8  275.8  180  3.07  3.780  18.00   0   0   \n",
              "14   Cadillac Fleetwood  10.4    8  472.0  205  2.93  5.250  17.98   0   0   \n",
              "15  Lincoln Continental  10.4    8  460.0  215  3.00  5.424  17.82   0   0   \n",
              "16    Chrysler Imperial  14.7    8  440.0  230  3.23  5.345  17.42   0   0   \n",
              "17             Fiat 128  32.4    4   78.7   66  4.08  2.200  19.47   1   1   \n",
              "18          Honda Civic  30.4    4   75.7   52  4.93  1.615  18.52   1   1   \n",
              "19       Toyota Corolla  33.9    4   71.1   65  4.22  1.835  19.90   1   1   \n",
              "20        Toyota Corona  21.5    4  120.1   97  3.70  2.465  20.01   1   0   \n",
              "21     Dodge Challenger  15.5    8  318.0  150  2.76  3.520  16.87   0   0   \n",
              "22          AMC Javelin  15.2    8  304.0  150  3.15  3.435  17.30   0   0   \n",
              "23           Camaro Z28  13.3    8  350.0  245  3.73  3.840  15.41   0   0   \n",
              "24     Pontiac Firebird  19.2    8  400.0  175  3.08  3.845  17.05   0   0   \n",
              "25            Fiat X1-9  27.3    4   79.0   66  4.08  1.935  18.90   1   1   \n",
              "26        Porsche 914-2  26.0    4  120.3   91  4.43  2.140  16.70   0   1   \n",
              "27         Lotus Europa  30.4    4   95.1  113  3.77  1.513  16.90   1   1   \n",
              "28       Ford Pantera L  15.8    8  351.0  264  4.22  3.170  14.50   0   1   \n",
              "29         Ferrari Dino  19.7    6  145.0  175  3.62  2.770  15.50   0   1   \n",
              "30        Maserati Bora  15.0    8  301.0  335  3.54  3.570  14.60   0   1   \n",
              "31           Volvo 142E  21.4    4  121.0  109  4.11  2.780  18.60   1   1   \n",
              "\n",
              "    gear  carb  \n",
              "0      4     4  \n",
              "1      4     4  \n",
              "2      4     1  \n",
              "3      3     1  \n",
              "4      3     2  \n",
              "5      3     1  \n",
              "6      3     4  \n",
              "7      4     2  \n",
              "8      4     2  \n",
              "9      4     4  \n",
              "10     4     4  \n",
              "11     3     3  \n",
              "12     3     3  \n",
              "13     3     3  \n",
              "14     3     4  \n",
              "15     3     4  \n",
              "16     3     4  \n",
              "17     4     1  \n",
              "18     4     2  \n",
              "19     4     1  \n",
              "20     3     1  \n",
              "21     3     2  \n",
              "22     3     2  \n",
              "23     3     4  \n",
              "24     3     2  \n",
              "25     4     1  \n",
              "26     5     2  \n",
              "27     5     2  \n",
              "28     5     4  \n",
              "29     5     6  \n",
              "30     5     8  \n",
              "31     4     2  "
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import tabula\n",
        "pdf_path = \"https://github.com/chezou/tabula-py/raw/master/tests/resources/data.pdf\"\n",
        "\n",
        "dfs = tabula.read_pdf(pdf_path, stream=True)\n",
        "# read_pdf returns list of DataFrames\n",
        "print(len(dfs))\n",
        "dfs[0]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "GryAu9PksQeJ"
      },
      "source": [
        "## Options for `read_pdf()`\n",
        "\n",
        "Note that `read_pdf()` function reads only page 1 by default. For more details, use `?read_pdf`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "mryDaFRqsfTN",
        "outputId": "130309a4-9541-4330-81c0-37e30d8a4a43"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Help on function read_pdf in module tabula.io:\n",
            "\n",
            "read_pdf(input_path: Union[IO, str, os.PathLike], output_format: Union[str, NoneType] = None, encoding: str = 'utf-8', java_options: Union[List[str], NoneType] = None, pandas_options: Union[Dict[str, Any], NoneType] = None, multiple_tables: bool = True, user_agent: Union[str, NoneType] = None, use_raw_url: bool = False, pages: Union[str, int, Iterable[int], NoneType] = None, guess: bool = True, area: Union[Iterable[float], Iterable[Iterable[float]], NoneType] = None, relative_area: bool = False, lattice: bool = False, stream: bool = False, password: Union[str, NoneType] = None, silent: Union[bool, NoneType] = None, columns: Union[Iterable[float], NoneType] = None, relative_columns: bool = False, format: Union[str, NoneType] = None, batch: Union[str, NoneType] = None, output_path: Union[str, NoneType] = None, options: str = '') -> Union[List[pandas.core.frame.DataFrame], Dict[str, Any]]\n",
            "    Read tables in PDF.\n",
            "    \n",
            "    Args:\n",
            "        input_path (str, path object or file-like object):\n",
            "            File like object of target PDF file.\n",
            "            It can be URL, which is downloaded by tabula-py automatically.\n",
            "        output_format (str, optional):\n",
            "            Output format for returned object (``dataframe`` or ``json``)\n",
            "            Giving this option enforces to ignore `multiple_tables` option.\n",
            "        encoding (str, optional):\n",
            "            Encoding type for pandas. Default: ``utf-8``\n",
            "        java_options (list, optional):\n",
            "            Set java options.\n",
            "    \n",
            "            Example:\n",
            "                ``[\"-Xmx256m\"]``\n",
            "        pandas_options (dict, optional):\n",
            "            Set pandas options.\n",
            "    \n",
            "            Example:\n",
            "                ``{'header': None}``\n",
            "    \n",
            "            Note:\n",
            "                With ``multiple_tables=True`` (default), pandas_options is passed\n",
            "                to pandas.DataFrame, otherwise it is passed to pandas.read_csv.\n",
            "                Those two functions are different for accept options like ``dtype``.\n",
            "        multiple_tables (bool):\n",
            "            It enables to handle multiple tables within a page. Default: ``True``\n",
            "    \n",
            "            Note:\n",
            "                If `multiple_tables` option is enabled, tabula-py uses not\n",
            "                :func:`pd.read_csv()`, but :func:`pd.DataFrame()`. Make\n",
            "                sure to pass appropriate `pandas_options`.\n",
            "        user_agent (str, optional):\n",
            "            Set a custom user-agent when download a pdf from a url. Otherwise\n",
            "            it uses the default ``urllib.request`` user-agent.\n",
            "        use_raw_url (bool):\n",
            "            It enforces to use `input_path` string for url without quoting/dequoting.\n",
            "            Default: False\n",
            "        pages (str, int, `iterable` of `int`, optional):\n",
            "            An optional values specifying pages to extract from. It allows\n",
            "            `str`,`int`, `iterable` of :`int`. Default: `1`\n",
            "    \n",
            "            Examples:\n",
            "                ``'1-2,3'``, ``'all'``, ``[1,2]``\n",
            "        guess (bool, optional):\n",
            "            Guess the portion of the page to analyze per page. Default `True`\n",
            "            If you use \"area\" option, this option becomes `False`.\n",
            "    \n",
            "            Note:\n",
            "                As of tabula-java 1.0.3, guess option becomes independent from\n",
            "                lattice and stream option, you can use guess and lattice/stream option\n",
            "                at the same time.\n",
            "    \n",
            "        area (iterable of float, iterable of iterable of float, optional):\n",
            "            Portion of the page to analyze(top,left,bottom,right).\n",
            "            Default is entire page.\n",
            "    \n",
            "            Note:\n",
            "                If you want to use multiple area options and extract in one table, it\n",
            "                should be better to set ``multiple_tables=False`` for :func:`read_pdf()`\n",
            "    \n",
            "            Examples:\n",
            "                ``[269.875,12.75,790.5,561]``,\n",
            "                ``[[12.1,20.5,30.1,50.2], [1.0,3.2,10.5,40.2]]``\n",
            "    \n",
            "        relative_area (bool, optional):\n",
            "            If all area values are between 0-100 (inclusive) and preceded by ``'%'``,\n",
            "            input will be taken as % of actual height or width of the page.\n",
            "            Default ``False``.\n",
            "        lattice (bool, optional):\n",
            "            Force PDF to be extracted using lattice-mode extraction\n",
            "            (if there are ruling lines separating each cell, as in a PDF of an\n",
            "            Excel spreadsheet)\n",
            "        stream (bool, optional):\n",
            "            Force PDF to be extracted using stream-mode extraction\n",
            "            (if there are no ruling lines separating each cell, as in a PDF of an\n",
            "            Excel spreadsheet)\n",
            "        password (str, optional):\n",
            "            Password to decrypt document. Default: empty\n",
            "        silent (bool, optional):\n",
            "            Suppress all stderr output.\n",
            "        columns (iterable, optional):\n",
            "            X coordinates of column boundaries.\n",
            "    \n",
            "            Example:\n",
            "                ``[10.1, 20.2, 30.3]``\n",
            "        relative_columns (bool, optional):\n",
            "            If all values are between 0-100 (inclusive) and preceded by '%',\n",
            "            input will be taken as % of actual width of the page.\n",
            "            Default ``False``.\n",
            "        format (str, optional):\n",
            "            Format for output file or extracted object.\n",
            "            (``\"CSV\"``, ``\"TSV\"``, ``\"JSON\"``)\n",
            "        batch (str, optional):\n",
            "            Convert all PDF files in the provided directory. This argument should be\n",
            "            directory path.\n",
            "        output_path (str, optional):\n",
            "            Output file path. File format of it is depends on ``format``.\n",
            "            Same as ``--outfile`` option of tabula-java.\n",
            "        options (str, optional):\n",
            "            Raw option string for tabula-java.\n",
            "    \n",
            "    Returns:\n",
            "        list of DataFrames or dict.\n",
            "    \n",
            "    Raises:\n",
            "        FileNotFoundError:\n",
            "            If downloaded remote file doesn't exist.\n",
            "    \n",
            "        ValueError:\n",
            "            If output_format is unknown format, or if downloaded remote file size is 0.\n",
            "    \n",
            "        tabula.errors.CSVParseError:\n",
            "            If pandas CSV parsing failed.\n",
            "    \n",
            "    \n",
            "    Examples:\n",
            "    \n",
            "        Here is a simple example.\n",
            "        Note that :func:`read_pdf()` only extract page 1 by default.\n",
            "    \n",
            "        Notes:\n",
            "            As of tabula-py 2.0.0, :func:`read_pdf()` sets `multiple_tables=True` by\n",
            "            default. If you want to get consistent output with previous version, set\n",
            "            `multiple_tables=False`.\n",
            "    \n",
            "        >>> import tabula\n",
            "        >>> pdf_path = \"https://github.com/chezou/tabula-py/raw/master/tests/resources/data.pdf\"\n",
            "        >>> tabula.read_pdf(pdf_path, stream=True)\n",
            "        [             Unnamed: 0   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  carb\n",
            "        0             Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1     4     4\n",
            "        1         Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1     4     4\n",
            "        2            Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1     4     1\n",
            "        3        Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0     3     1\n",
            "        4     Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3     2\n",
            "        5               Valiant  18.1    6  225.0  105  2.76  3.460  20.22   1   0     3     1\n",
            "        6            Duster 360  14.3    8  360.0  245  3.21  3.570  15.84   0   0     3     4\n",
            "        7             Merc 240D  24.4    4  146.7   62  3.69  3.190  20.00   1   0     4     2\n",
            "        8              Merc 230  22.8    4  140.8   95  3.92  3.150  22.90   1   0     4     2\n",
            "        9              Merc 280  19.2    6  167.6  123  3.92  3.440  18.30   1   0     4     4\n",
            "        10            Merc 280C  17.8    6  167.6  123  3.92  3.440  18.90   1   0     4     4\n",
            "        11           Merc 450SE  16.4    8  275.8  180  3.07  4.070  17.40   0   0     3     3\n",
            "        12           Merc 450SL  17.3    8  275.8  180  3.07  3.730  17.60   0   0     3     3\n",
            "        13          Merc 450SLC  15.2    8  275.8  180  3.07  3.780  18.00   0   0     3     3\n",
            "        14   Cadillac Fleetwood  10.4    8  472.0  205  2.93  5.250  17.98   0   0     3     4\n",
            "        15  Lincoln Continental  10.4    8  460.0  215  3.00  5.424  17.82   0   0     3     4\n",
            "        16    Chrysler Imperial  14.7    8  440.0  230  3.23  5.345  17.42   0   0     3     4\n",
            "        17             Fiat 128  32.4    4   78.7   66  4.08  2.200  19.47   1   1     4     1\n",
            "        18          Honda Civic  30.4    4   75.7   52  4.93  1.615  18.52   1   1     4     2\n",
            "        19       Toyota Corolla  33.9    4   71.1   65  4.22  1.835  19.90   1   1     4     1\n",
            "        20        Toyota Corona  21.5    4  120.1   97  3.70  2.465  20.01   1   0     3     1\n",
            "        21     Dodge Challenger  15.5    8  318.0  150  2.76  3.520  16.87   0   0     3     2\n",
            "        22          AMC Javelin  15.2    8  304.0  150  3.15  3.435  17.30   0   0     3     2\n",
            "        23           Camaro Z28  13.3    8  350.0  245  3.73  3.840  15.41   0   0     3     4\n",
            "        24     Pontiac Firebird  19.2    8  400.0  175  3.08  3.845  17.05   0   0     3     2\n",
            "        25            Fiat X1-9  27.3    4   79.0   66  4.08  1.935  18.90   1   1     4     1\n",
            "        26        Porsche 914-2  26.0    4  120.3   91  4.43  2.140  16.70   0   1     5     2\n",
            "        27         Lotus Europa  30.4    4   95.1  113  3.77  1.513  16.90   1   1     5     2\n",
            "        28       Ford Pantera L  15.8    8  351.0  264  4.22  3.170  14.50   0   1     5     4\n",
            "        29         Ferrari Dino  19.7    6  145.0  175  3.62  2.770  15.50   0   1     5     6\n",
            "        30        Maserati Bora  15.0    8  301.0  335  3.54  3.570  14.60   0   1     5     8\n",
            "        31           Volvo 142E  21.4    4  121.0  109  4.11  2.780  18.60   1   1     4     2]\n",
            "    \n",
            "        If you want to extract all pages, set ``pages=\"all\"``.\n",
            "    \n",
            "        >>> dfs = tabula.read_pdf(pdf_path, pages=\"all\")\n",
            "        >>> len(dfs)\n",
            "        4\n",
            "        >>> dfs\n",
            "        [       0    1      2    3     4      5      6   7   8     9\n",
            "        0    mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear\n",
            "        1   21.0    6  160.0  110  3.90  2.620  16.46   0   1     4\n",
            "        2   21.0    6  160.0  110  3.90  2.875  17.02   0   1     4\n",
            "        3   22.8    4  108.0   93  3.85  2.320  18.61   1   1     4\n",
            "        4   21.4    6  258.0  110  3.08  3.215  19.44   1   0     3\n",
            "        5   18.7    8  360.0  175  3.15  3.440  17.02   0   0     3\n",
            "        6   18.1    6  225.0  105  2.76  3.460  20.22   1   0     3\n",
            "        7   14.3    8  360.0  245  3.21  3.570  15.84   0   0     3\n",
            "        8   24.4    4  146.7   62  3.69  3.190  20.00   1   0     4\n",
            "        9   22.8    4  140.8   95  3.92  3.150  22.90   1   0     4\n",
            "        10  19.2    6  167.6  123  3.92  3.440  18.30   1   0     4\n",
            "        11  17.8    6  167.6  123  3.92  3.440  18.90   1   0     4\n",
            "        12  16.4    8  275.8  180  3.07  4.070  17.40   0   0     3\n",
            "        13  17.3    8  275.8  180  3.07  3.730  17.60   0   0     3\n",
            "        14  15.2    8  275.8  180  3.07  3.780  18.00   0   0     3\n",
            "        15  10.4    8  472.0  205  2.93  5.250  17.98   0   0     3\n",
            "        16  10.4    8  460.0  215  3.00  5.424  17.82   0   0     3\n",
            "        17  14.7    8  440.0  230  3.23  5.345  17.42   0   0     3\n",
            "        18  32.4    4   78.7   66  4.08  2.200  19.47   1   1     4\n",
            "        19  30.4    4   75.7   52  4.93  1.615  18.52   1   1     4\n",
            "        20  33.9    4   71.1   65  4.22  1.835  19.90   1   1     4\n",
            "        21  21.5    4  120.1   97  3.70  2.465  20.01   1   0     3\n",
            "        22  15.5    8  318.0  150  2.76  3.520  16.87   0   0     3\n",
            "        23  15.2    8  304.0  150  3.15  3.435  17.30   0   0     3\n",
            "        24  13.3    8  350.0  245  3.73  3.840  15.41   0   0     3\n",
            "        25  19.2    8  400.0  175  3.08  3.845  17.05   0   0     3\n",
            "        26  27.3    4   79.0   66  4.08  1.935  18.90   1   1     4\n",
            "        27  26.0    4  120.3   91  4.43  2.140  16.70   0   1     5\n",
            "        28  30.4    4   95.1  113  3.77  1.513  16.90   1   1     5\n",
            "        29  15.8    8  351.0  264  4.22  3.170  14.50   0   1     5\n",
            "        30  19.7    6  145.0  175  3.62  2.770  15.50   0   1     5\n",
            "        31  15.0    8  301.0  335  3.54  3.570  14.60   0   1     5,               0            1             2            3        4\n",
            "        0  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width  Species\n",
            "        1           5.1          3.5           1.4          0.2   setosa\n",
            "        2           4.9          3.0           1.4          0.2   setosa\n",
            "        3           4.7          3.2           1.3          0.2   setosa\n",
            "        4           4.6          3.1           1.5          0.2   setosa\n",
            "        5           5.0          3.6           1.4          0.2   setosa\n",
            "        6           5.4          3.9           1.7          0.4   setosa,      0             1            2             3            4          5\n",
            "        0  NaN  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width    Species\n",
            "        1  145           6.7          3.3           5.7          2.5  virginica\n",
            "        2  146           6.7          3.0           5.2          2.3  virginica\n",
            "        3  147           6.3          2.5           5.0          1.9  virginica\n",
            "        4  148           6.5          3.0           5.2          2.0  virginica\n",
            "        5  149           6.2          3.4           5.4          2.3  virginica\n",
            "        6  150           5.9          3.0           5.1          1.8  virginica,        0\n",
            "        0   supp\n",
            "        1     VC\n",
            "        2     VC\n",
            "        3     VC\n",
            "        4     VC\n",
            "        5     VC\n",
            "        6     VC\n",
            "        7     VC\n",
            "        8     VC\n",
            "        9     VC\n",
            "        10    VC\n",
            "        11    VC\n",
            "        12    VC\n",
            "        13    VC\n",
            "        14    VC]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "help(tabula.read_pdf)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "vE9524MBspsN"
      },
      "source": [
        "Let's set `pages` option. Here is the extraction result of page 3:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "colab_type": "code",
        "id": "bjbmAfk_luRD",
        "outputId": "8d7ba5e5-07a8-4e4a-8e2c-37d5c0670294"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>len</th>\n",
              "      <th>supp</th>\n",
              "      <th>dose</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4.2</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>11.5</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.3</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5.8</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6.4</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>10.0</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>11.2</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>11.2</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>5.2</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>7.0</td>\n",
              "      <td>VC</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>16.5</td>\n",
              "      <td>VC</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>16.5</td>\n",
              "      <td>VC</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>15.2</td>\n",
              "      <td>VC</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>17.3</td>\n",
              "      <td>VC</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>22.5</td>\n",
              "      <td>VC</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     len supp  dose\n",
              "0    4.2   VC   0.5\n",
              "1   11.5   VC   0.5\n",
              "2    7.3   VC   0.5\n",
              "3    5.8   VC   0.5\n",
              "4    6.4   VC   0.5\n",
              "5   10.0   VC   0.5\n",
              "6   11.2   VC   0.5\n",
              "7   11.2   VC   0.5\n",
              "8    5.2   VC   0.5\n",
              "9    7.0   VC   0.5\n",
              "10  16.5   VC   1.0\n",
              "11  16.5   VC   1.0\n",
              "12  15.2   VC   1.0\n",
              "13  17.3   VC   1.0\n",
              "14  22.5   VC   1.0"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# set pages option\n",
        "dfs = tabula.read_pdf(pdf_path, pages=3, stream=True)\n",
        "dfs[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "5oJl_6MYluRQ",
        "outputId": "24580a6f-55a0-424e-9101-dc1d6c8cdadf"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[             Unnamed: 0   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  \\\n",
              " 0             Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1   \n",
              " 1         Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1   \n",
              " 2            Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1   \n",
              " 3        Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0   \n",
              " 4     Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0   \n",
              " 5               Valiant  18.1    6  225.0  105  2.76  3.460  20.22   1   0   \n",
              " 6            Duster 360  14.3    8  360.0  245  3.21  3.570  15.84   0   0   \n",
              " 7             Merc 240D  24.4    4  146.7   62  3.69  3.190  20.00   1   0   \n",
              " 8              Merc 230  22.8    4  140.8   95  3.92  3.150  22.90   1   0   \n",
              " 9              Merc 280  19.2    6  167.6  123  3.92  3.440  18.30   1   0   \n",
              " 10            Merc 280C  17.8    6  167.6  123  3.92  3.440  18.90   1   0   \n",
              " 11           Merc 450SE  16.4    8  275.8  180  3.07  4.070  17.40   0   0   \n",
              " 12           Merc 450SL  17.3    8  275.8  180  3.07  3.730  17.60   0   0   \n",
              " 13          Merc 450SLC  15.2    8  275.8  180  3.07  3.780  18.00   0   0   \n",
              " 14   Cadillac Fleetwood  10.4    8  472.0  205  2.93  5.250  17.98   0   0   \n",
              " 15  Lincoln Continental  10.4    8  460.0  215  3.00  5.424  17.82   0   0   \n",
              " 16    Chrysler Imperial  14.7    8  440.0  230  3.23  5.345  17.42   0   0   \n",
              " 17             Fiat 128  32.4    4   78.7   66  4.08  2.200  19.47   1   1   \n",
              " 18          Honda Civic  30.4    4   75.7   52  4.93  1.615  18.52   1   1   \n",
              " 19       Toyota Corolla  33.9    4   71.1   65  4.22  1.835  19.90   1   1   \n",
              " 20        Toyota Corona  21.5    4  120.1   97  3.70  2.465  20.01   1   0   \n",
              " 21     Dodge Challenger  15.5    8  318.0  150  2.76  3.520  16.87   0   0   \n",
              " 22          AMC Javelin  15.2    8  304.0  150  3.15  3.435  17.30   0   0   \n",
              " 23           Camaro Z28  13.3    8  350.0  245  3.73  3.840  15.41   0   0   \n",
              " 24     Pontiac Firebird  19.2    8  400.0  175  3.08  3.845  17.05   0   0   \n",
              " 25            Fiat X1-9  27.3    4   79.0   66  4.08  1.935  18.90   1   1   \n",
              " 26        Porsche 914-2  26.0    4  120.3   91  4.43  2.140  16.70   0   1   \n",
              " 27         Lotus Europa  30.4    4   95.1  113  3.77  1.513  16.90   1   1   \n",
              " 28       Ford Pantera L  15.8    8  351.0  264  4.22  3.170  14.50   0   1   \n",
              " 29         Ferrari Dino  19.7    6  145.0  175  3.62  2.770  15.50   0   1   \n",
              " 30        Maserati Bora  15.0    8  301.0  335  3.54  3.570  14.60   0   1   \n",
              " 31           Volvo 142E  21.4    4  121.0  109  4.11  2.780  18.60   1   1   \n",
              " \n",
              "     gear  carb  \n",
              " 0      4     4  \n",
              " 1      4     4  \n",
              " 2      4     1  \n",
              " 3      3     1  \n",
              " 4      3     2  \n",
              " 5      3     1  \n",
              " 6      3     4  \n",
              " 7      4     2  \n",
              " 8      4     2  \n",
              " 9      4     4  \n",
              " 10     4     4  \n",
              " 11     3     3  \n",
              " 12     3     3  \n",
              " 13     3     3  \n",
              " 14     3     4  \n",
              " 15     3     4  \n",
              " 16     3     4  \n",
              " 17     4     1  \n",
              " 18     4     2  \n",
              " 19     4     1  \n",
              " 20     3     1  \n",
              " 21     3     2  \n",
              " 22     3     2  \n",
              " 23     3     4  \n",
              " 24     3     2  \n",
              " 25     4     1  \n",
              " 26     5     2  \n",
              " 27     5     2  \n",
              " 28     5     4  \n",
              " 29     5     6  \n",
              " 30     5     8  \n",
              " 31     4     2  ,\n",
              "    Sepal.Length  Sepal.Width  Petal.Length  Petal.Width Species\n",
              " 0           5.1          3.5           1.4          0.2  setosa\n",
              " 1           4.9          3.0           1.4          0.2  setosa\n",
              " 2           4.7          3.2           1.3          0.2  setosa\n",
              " 3           4.6          3.1           1.5          0.2  setosa\n",
              " 4           5.0          3.6           1.4          0.2  setosa\n",
              " 5           5.4          3.9           1.7          0.4  setosa,\n",
              "    Unnamed: 0  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width    Species\n",
              " 0         145           6.7          3.3           5.7          2.5  virginica\n",
              " 1         146           6.7          3.0           5.2          2.3  virginica\n",
              " 2         147           6.3          2.5           5.0          1.9  virginica\n",
              " 3         148           6.5          3.0           5.2          2.0  virginica\n",
              " 4         149           6.2          3.4           5.4          2.3  virginica\n",
              " 5         150           5.9          3.0           5.1          1.8  virginica,\n",
              "      len supp  dose\n",
              " 0    4.2   VC   0.5\n",
              " 1   11.5   VC   0.5\n",
              " 2    7.3   VC   0.5\n",
              " 3    5.8   VC   0.5\n",
              " 4    6.4   VC   0.5\n",
              " 5   10.0   VC   0.5\n",
              " 6   11.2   VC   0.5\n",
              " 7   11.2   VC   0.5\n",
              " 8    5.2   VC   0.5\n",
              " 9    7.0   VC   0.5\n",
              " 10  16.5   VC   1.0\n",
              " 11  16.5   VC   1.0\n",
              " 12  15.2   VC   1.0\n",
              " 13  17.3   VC   1.0\n",
              " 14  22.5   VC   1.0]"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# pass pages as string\n",
        "tabula.read_pdf(pdf_path, pages=\"1-2,3\", stream=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "kLnlbot_tBUa"
      },
      "source": [
        "You can set `pages=\"all\"` for extration all pages. If you hit OOM error with Java, you should set appropriate `-Xmx` option for `java_options`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "pGKPdC0tluRc",
        "outputId": "6e860d6d-7c4a-4ef9-dbb7-ab27c0fb6c19"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[             Unnamed: 0   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  \\\n",
              " 0             Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1   \n",
              " 1         Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1   \n",
              " 2            Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1   \n",
              " 3        Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0   \n",
              " 4     Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0   \n",
              " 5               Valiant  18.1    6  225.0  105  2.76  3.460  20.22   1   0   \n",
              " 6            Duster 360  14.3    8  360.0  245  3.21  3.570  15.84   0   0   \n",
              " 7             Merc 240D  24.4    4  146.7   62  3.69  3.190  20.00   1   0   \n",
              " 8              Merc 230  22.8    4  140.8   95  3.92  3.150  22.90   1   0   \n",
              " 9              Merc 280  19.2    6  167.6  123  3.92  3.440  18.30   1   0   \n",
              " 10            Merc 280C  17.8    6  167.6  123  3.92  3.440  18.90   1   0   \n",
              " 11           Merc 450SE  16.4    8  275.8  180  3.07  4.070  17.40   0   0   \n",
              " 12           Merc 450SL  17.3    8  275.8  180  3.07  3.730  17.60   0   0   \n",
              " 13          Merc 450SLC  15.2    8  275.8  180  3.07  3.780  18.00   0   0   \n",
              " 14   Cadillac Fleetwood  10.4    8  472.0  205  2.93  5.250  17.98   0   0   \n",
              " 15  Lincoln Continental  10.4    8  460.0  215  3.00  5.424  17.82   0   0   \n",
              " 16    Chrysler Imperial  14.7    8  440.0  230  3.23  5.345  17.42   0   0   \n",
              " 17             Fiat 128  32.4    4   78.7   66  4.08  2.200  19.47   1   1   \n",
              " 18          Honda Civic  30.4    4   75.7   52  4.93  1.615  18.52   1   1   \n",
              " 19       Toyota Corolla  33.9    4   71.1   65  4.22  1.835  19.90   1   1   \n",
              " 20        Toyota Corona  21.5    4  120.1   97  3.70  2.465  20.01   1   0   \n",
              " 21     Dodge Challenger  15.5    8  318.0  150  2.76  3.520  16.87   0   0   \n",
              " 22          AMC Javelin  15.2    8  304.0  150  3.15  3.435  17.30   0   0   \n",
              " 23           Camaro Z28  13.3    8  350.0  245  3.73  3.840  15.41   0   0   \n",
              " 24     Pontiac Firebird  19.2    8  400.0  175  3.08  3.845  17.05   0   0   \n",
              " 25            Fiat X1-9  27.3    4   79.0   66  4.08  1.935  18.90   1   1   \n",
              " 26        Porsche 914-2  26.0    4  120.3   91  4.43  2.140  16.70   0   1   \n",
              " 27         Lotus Europa  30.4    4   95.1  113  3.77  1.513  16.90   1   1   \n",
              " 28       Ford Pantera L  15.8    8  351.0  264  4.22  3.170  14.50   0   1   \n",
              " 29         Ferrari Dino  19.7    6  145.0  175  3.62  2.770  15.50   0   1   \n",
              " 30        Maserati Bora  15.0    8  301.0  335  3.54  3.570  14.60   0   1   \n",
              " 31           Volvo 142E  21.4    4  121.0  109  4.11  2.780  18.60   1   1   \n",
              " \n",
              "     gear  carb  \n",
              " 0      4     4  \n",
              " 1      4     4  \n",
              " 2      4     1  \n",
              " 3      3     1  \n",
              " 4      3     2  \n",
              " 5      3     1  \n",
              " 6      3     4  \n",
              " 7      4     2  \n",
              " 8      4     2  \n",
              " 9      4     4  \n",
              " 10     4     4  \n",
              " 11     3     3  \n",
              " 12     3     3  \n",
              " 13     3     3  \n",
              " 14     3     4  \n",
              " 15     3     4  \n",
              " 16     3     4  \n",
              " 17     4     1  \n",
              " 18     4     2  \n",
              " 19     4     1  \n",
              " 20     3     1  \n",
              " 21     3     2  \n",
              " 22     3     2  \n",
              " 23     3     4  \n",
              " 24     3     2  \n",
              " 25     4     1  \n",
              " 26     5     2  \n",
              " 27     5     2  \n",
              " 28     5     4  \n",
              " 29     5     6  \n",
              " 30     5     8  \n",
              " 31     4     2  ,\n",
              "    Sepal.Length  Sepal.Width  Petal.Length  Petal.Width Species\n",
              " 0           5.1          3.5           1.4          0.2  setosa\n",
              " 1           4.9          3.0           1.4          0.2  setosa\n",
              " 2           4.7          3.2           1.3          0.2  setosa\n",
              " 3           4.6          3.1           1.5          0.2  setosa\n",
              " 4           5.0          3.6           1.4          0.2  setosa\n",
              " 5           5.4          3.9           1.7          0.4  setosa,\n",
              "    Unnamed: 0  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width    Species\n",
              " 0         145           6.7          3.3           5.7          2.5  virginica\n",
              " 1         146           6.7          3.0           5.2          2.3  virginica\n",
              " 2         147           6.3          2.5           5.0          1.9  virginica\n",
              " 3         148           6.5          3.0           5.2          2.0  virginica\n",
              " 4         149           6.2          3.4           5.4          2.3  virginica\n",
              " 5         150           5.9          3.0           5.1          1.8  virginica,\n",
              "      len supp  dose\n",
              " 0    4.2   VC   0.5\n",
              " 1   11.5   VC   0.5\n",
              " 2    7.3   VC   0.5\n",
              " 3    5.8   VC   0.5\n",
              " 4    6.4   VC   0.5\n",
              " 5   10.0   VC   0.5\n",
              " 6   11.2   VC   0.5\n",
              " 7   11.2   VC   0.5\n",
              " 8    5.2   VC   0.5\n",
              " 9    7.0   VC   0.5\n",
              " 10  16.5   VC   1.0\n",
              " 11  16.5   VC   1.0\n",
              " 12  15.2   VC   1.0\n",
              " 13  17.3   VC   1.0\n",
              " 14  22.5   VC   1.0]"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# extract all pages\n",
        "tabula.read_pdf(pdf_path, pages=\"all\", stream=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "lW8GUsUvt00N"
      },
      "source": [
        "## Read partial area of PDF\n",
        "\n",
        "If you want to set a certain part of page, you can use `area` option.\n",
        "\n",
        "Note that as of tabula-py 2.0.0, `multiple_tables` option became `True` so if you want to use multiple `area` options like `[[0, 0, 100, 50], [0, 50, 100, 100]]`, you need to set `multiple_tables=False`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "colab_type": "code",
        "id": "Ea9NwvdYluSF",
        "outputId": "03b1acf7-09f6-4224-9c02-4ad8ddc85437"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>Sepal.Width</th>\n",
              "      <th>Petal.Length</th>\n",
              "      <th>Petal.Width</th>\n",
              "      <th>Species</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>3.9</td>\n",
              "      <td>1.7</td>\n",
              "      <td>0.4</td>\n",
              "      <td>setosa</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0  Sepal.Width  Petal.Length Petal.Width Species\n",
              "0         5.1          3.5           1.4         0.2  setosa\n",
              "1         4.9          3.0           1.4         0.2  setosa\n",
              "2         4.7          3.2           1.3         0.2  setosa\n",
              "3         4.6          3.1           1.5         0.2  setosa\n",
              "4         5.0          3.6           1.4         0.2  setosa\n",
              "5         3.9          1.7           0.4      setosa     NaN"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# set area option\n",
        "dfs = tabula.read_pdf(pdf_path, area=[126,149,212,462], pages=2)\n",
        "dfs[0]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "_G5QO2-pPgbw"
      },
      "source": [
        "## Read giving column information"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "4kByGX6GPf_c",
        "outputId": "9370bcba-3b0b-4546-baf8-919bfdac65a8"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Apellido</th>\n",
              "      <th>Nombre</th>\n",
              "      <th>Matricula</th>\n",
              "      <th>Cuit</th>\n",
              "      <th>Fecha</th>\n",
              "      <th>Tipo</th>\n",
              "      <th>Importe</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MENA</td>\n",
              "      <td>JUAN MARTÍN</td>\n",
              "      <td>27.083.460</td>\n",
              "      <td>20-27083460-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MOLLE</td>\n",
              "      <td>MATÍAS</td>\n",
              "      <td>25.348.547</td>\n",
              "      <td>20-25348547-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MOLLEVI</td>\n",
              "      <td>FEDERICO OSCAR</td>\n",
              "      <td>25.028.246</td>\n",
              "      <td>20-25028246-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PERAZZO</td>\n",
              "      <td>PABLO DANIEL</td>\n",
              "      <td>25.348.394</td>\n",
              "      <td>20-25348394-7</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PICARDI</td>\n",
              "      <td>FRANCO EDUARDO</td>\n",
              "      <td>27.382.271</td>\n",
              "      <td>20-27382271-3</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>PISONI</td>\n",
              "      <td>CARLOS ENRIQUE</td>\n",
              "      <td>26.034.823</td>\n",
              "      <td>20-26034823-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>PONTORIERO</td>\n",
              "      <td>MARÍA PAULA</td>\n",
              "      <td>23.249.597</td>\n",
              "      <td>27-23249597-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>PULESTON</td>\n",
              "      <td>JUAN MIGUEL</td>\n",
              "      <td>11.895.661</td>\n",
              "      <td>20-11895661-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>REMÓN</td>\n",
              "      <td>MABEL AURORA</td>\n",
              "      <td>11.292.939</td>\n",
              "      <td>27-11292939-3</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>SARRABAYROUSE</td>\n",
              "      <td>DIEGO</td>\n",
              "      <td>24.662.899</td>\n",
              "      <td>20-24662899-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>SPATOLA</td>\n",
              "      <td>ANALÍA CARMEN</td>\n",
              "      <td>24.560.922</td>\n",
              "      <td>27-24560922-7</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>STAMILLA</td>\n",
              "      <td>SERGIO ADRIÁN</td>\n",
              "      <td>29.364.226</td>\n",
              "      <td>20-29364226-6</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>SZARANGOWICZ</td>\n",
              "      <td>GUSTAVO ALEJANDRO</td>\n",
              "      <td>25.096.244</td>\n",
              "      <td>20-25096244-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>TAILHADE</td>\n",
              "      <td>LUIS RODOLFO</td>\n",
              "      <td>21.386.299</td>\n",
              "      <td>20-21386299-6</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>TEDESCHI</td>\n",
              "      <td>ADRIÁN ALBERTO</td>\n",
              "      <td>24.171.507</td>\n",
              "      <td>20-24171507-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>URRIZA</td>\n",
              "      <td>MARÍA TERESA</td>\n",
              "      <td>18.135.604</td>\n",
              "      <td>27-18135604-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>USTARROZ</td>\n",
              "      <td>GERÓNIMO JAVIER</td>\n",
              "      <td>24.912.947</td>\n",
              "      <td>20-24912947-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>VALSANGIACOMO BLANC</td>\n",
              "      <td>OFERNANDO JORGE</td>\n",
              "      <td>26.800.203</td>\n",
              "      <td>20-26800203-1</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>VICENTE</td>\n",
              "      <td>PABLO ARIEL</td>\n",
              "      <td>21.897.586</td>\n",
              "      <td>20-21897586-1</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>AMBURI</td>\n",
              "      <td>HUGO ALBERTO</td>\n",
              "      <td>14.096.560</td>\n",
              "      <td>20-14096560-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 20.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>BERRA</td>\n",
              "      <td>CLAUDIA SUSANA</td>\n",
              "      <td>14.433.112</td>\n",
              "      <td>27-14433112-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>LASALA</td>\n",
              "      <td>RICARDO ALBERTO</td>\n",
              "      <td>21.760.811</td>\n",
              "      <td>20-21760811-3</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>AZPITARTE</td>\n",
              "      <td>MARCELO CARLOS</td>\n",
              "      <td>16.018.569</td>\n",
              "      <td>20-16018569-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>BERARDO</td>\n",
              "      <td>CRISTINA BEATRIZ</td>\n",
              "      <td>12.609.615</td>\n",
              "      <td>27-12609615-7</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>OREIRO</td>\n",
              "      <td>RODOLFO MIGUEL</td>\n",
              "      <td>13.655.728</td>\n",
              "      <td>23-13655728-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>FAIENZA</td>\n",
              "      <td>MIGUEL ERNESTO</td>\n",
              "      <td>27.264.638</td>\n",
              "      <td>20-27264638-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 20.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>GRANILLO FERNANDEZ</td>\n",
              "      <td>JUAN MANUEL</td>\n",
              "      <td>27.235.280</td>\n",
              "      <td>20-27235280-2</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>RODRIGUEZ PINGITORE</td>\n",
              "      <td>CLAUDIA MONICA</td>\n",
              "      <td>23.343.332</td>\n",
              "      <td>27-23343332-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>CORBELLA</td>\n",
              "      <td>TERESITA GRACIELA</td>\n",
              "      <td>11.353.491</td>\n",
              "      <td>27-11353491-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 5.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>CORVINO</td>\n",
              "      <td>GERMAN HORACIO</td>\n",
              "      <td>27.491.524</td>\n",
              "      <td>20-27491524-3</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 20.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>GARCIA DELATOUR</td>\n",
              "      <td>AGUSTINA</td>\n",
              "      <td>29.501.230</td>\n",
              "      <td>27-29501230-2</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 5.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>AGUIRRE</td>\n",
              "      <td>LIDIA ELIZABETH</td>\n",
              "      <td>17.997.634</td>\n",
              "      <td>27-17997634-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 5.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>FORNERO</td>\n",
              "      <td>RAUL OSCAR</td>\n",
              "      <td>10.177.167</td>\n",
              "      <td>23-10177167-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 5.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>SKOCILIC</td>\n",
              "      <td>NATALIA ELIZABETH</td>\n",
              "      <td>30.237.737</td>\n",
              "      <td>27-30237737-0</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 5.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>SARRA</td>\n",
              "      <td>CARMEN</td>\n",
              "      <td>11.812.381</td>\n",
              "      <td>27-11812381-1</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 20.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>VIVALDO</td>\n",
              "      <td>MARÍA ITATÍ</td>\n",
              "      <td>20.458.214</td>\n",
              "      <td>27-20458214-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>LORENZO</td>\n",
              "      <td>FERNANDO LUIS</td>\n",
              "      <td>22.608.380</td>\n",
              "      <td>20-22608380-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 15.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>VESTILLERO</td>\n",
              "      <td>CARLOS SEBASTIAN</td>\n",
              "      <td>25.638.595</td>\n",
              "      <td>20-25638595-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>CASTRO</td>\n",
              "      <td>MARIA VICTORIA</td>\n",
              "      <td>22.642.061</td>\n",
              "      <td>23-22642061-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>PÉREZ SIMONDINI</td>\n",
              "      <td>ANDREA FABIANA</td>\n",
              "      <td>17.768.992</td>\n",
              "      <td>27-17768992-6</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>CLAVERO MITRE</td>\n",
              "      <td>LILIANA INES</td>\n",
              "      <td>11.176.760</td>\n",
              "      <td>27-11176760-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>SÁNCHEZ</td>\n",
              "      <td>MARIANA CLARA</td>\n",
              "      <td>20.205.651</td>\n",
              "      <td>27-20205651-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>TALLÓN</td>\n",
              "      <td>MATÍAS NORBERTO</td>\n",
              "      <td>33.498.601</td>\n",
              "      <td>20-33498601-3</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>SUAREZ</td>\n",
              "      <td>FERNANDO</td>\n",
              "      <td>11.633.291</td>\n",
              "      <td>20-11633291-5</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>TARSINO</td>\n",
              "      <td>MARIA EVELYN</td>\n",
              "      <td>23.276.482</td>\n",
              "      <td>27-23276482-7</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>GRIMBERG MARQUEZ</td>\n",
              "      <td>PAULA</td>\n",
              "      <td>27.680.600</td>\n",
              "      <td>27-27680600-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>THORP</td>\n",
              "      <td>MARIO</td>\n",
              "      <td>18.179.104</td>\n",
              "      <td>20-18179104-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>BARABAN</td>\n",
              "      <td>LORENA ELIZABETH</td>\n",
              "      <td>23.747.106</td>\n",
              "      <td>27-23747106-2</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>FRECHERO</td>\n",
              "      <td>EZEQUIEL</td>\n",
              "      <td>27.746.115</td>\n",
              "      <td>20-27746115-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>TORRES</td>\n",
              "      <td>CARLOS HUGO</td>\n",
              "      <td>25.957.223</td>\n",
              "      <td>20-25957223-2</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>BILLERES</td>\n",
              "      <td>GASTON MARTIN</td>\n",
              "      <td>23.301.948</td>\n",
              "      <td>20-23301948-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>RODRIGUEZ</td>\n",
              "      <td>EDGARDO JAVIER</td>\n",
              "      <td>21.502.793</td>\n",
              "      <td>20-21502793-8</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>KARPINSKY</td>\n",
              "      <td>ENRIQUE MARCELO</td>\n",
              "      <td>14.877.266</td>\n",
              "      <td>20-14877266-6</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>GRIMBERG MARQUEZ</td>\n",
              "      <td>JUAN CARLOS</td>\n",
              "      <td>7.831.240</td>\n",
              "      <td>20-07831240-9</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>BOGADO GONZALEZ</td>\n",
              "      <td>JULIO BERNABE</td>\n",
              "      <td>27.592.814</td>\n",
              "      <td>20-27592814-4</td>\n",
              "      <td>09/10/2013</td>\n",
              "      <td>EFECTIVO</td>\n",
              "      <td>$ 10.000,00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ANE</td>\n",
              "      <td>XO I-A-1 Págin</td>\n",
              "      <td>a 12 de 14</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Apellido             Nombre   Matricula           Cuit  \\\n",
              "0                  MENA        JUAN MARTÍN  27.083.460  20-27083460-5   \n",
              "1                 MOLLE             MATÍAS  25.348.547  20-25348547-8   \n",
              "2               MOLLEVI     FEDERICO OSCAR  25.028.246  20-25028246-0   \n",
              "3               PERAZZO       PABLO DANIEL  25.348.394  20-25348394-7   \n",
              "4               PICARDI     FRANCO EDUARDO  27.382.271  20-27382271-3   \n",
              "5                PISONI     CARLOS ENRIQUE  26.034.823  20-26034823-0   \n",
              "6            PONTORIERO        MARÍA PAULA  23.249.597  27-23249597-4   \n",
              "7              PULESTON        JUAN MIGUEL  11.895.661  20-11895661-4   \n",
              "8                 REMÓN       MABEL AURORA  11.292.939  27-11292939-3   \n",
              "9         SARRABAYROUSE              DIEGO  24.662.899  20-24662899-9   \n",
              "10              SPATOLA      ANALÍA CARMEN  24.560.922  27-24560922-7   \n",
              "11             STAMILLA      SERGIO ADRIÁN  29.364.226  20-29364226-6   \n",
              "12         SZARANGOWICZ  GUSTAVO ALEJANDRO  25.096.244  20-25096244-5   \n",
              "13             TAILHADE       LUIS RODOLFO  21.386.299  20-21386299-6   \n",
              "14             TEDESCHI     ADRIÁN ALBERTO  24.171.507  20-24171507-9   \n",
              "15               URRIZA       MARÍA TERESA  18.135.604  27-18135604-4   \n",
              "16             USTARROZ    GERÓNIMO JAVIER  24.912.947  20-24912947-0   \n",
              "17  VALSANGIACOMO BLANC    OFERNANDO JORGE  26.800.203  20-26800203-1   \n",
              "18              VICENTE        PABLO ARIEL  21.897.586  20-21897586-1   \n",
              "19               AMBURI       HUGO ALBERTO  14.096.560  20-14096560-0   \n",
              "20                BERRA     CLAUDIA SUSANA  14.433.112  27-14433112-0   \n",
              "21               LASALA    RICARDO ALBERTO  21.760.811  20-21760811-3   \n",
              "22            AZPITARTE     MARCELO CARLOS  16.018.569  20-16018569-5   \n",
              "23              BERARDO   CRISTINA BEATRIZ  12.609.615  27-12609615-7   \n",
              "24               OREIRO     RODOLFO MIGUEL  13.655.728  23-13655728-9   \n",
              "25              FAIENZA     MIGUEL ERNESTO  27.264.638  20-27264638-5   \n",
              "26   GRANILLO FERNANDEZ        JUAN MANUEL  27.235.280  20-27235280-2   \n",
              "27  RODRIGUEZ PINGITORE     CLAUDIA MONICA  23.343.332  27-23343332-8   \n",
              "28             CORBELLA  TERESITA GRACIELA  11.353.491  27-11353491-0   \n",
              "29              CORVINO     GERMAN HORACIO  27.491.524  20-27491524-3   \n",
              "30      GARCIA DELATOUR           AGUSTINA  29.501.230  27-29501230-2   \n",
              "31              AGUIRRE    LIDIA ELIZABETH  17.997.634  27-17997634-5   \n",
              "32              FORNERO         RAUL OSCAR  10.177.167  23-10177167-9   \n",
              "33             SKOCILIC  NATALIA ELIZABETH  30.237.737  27-30237737-0   \n",
              "34                SARRA             CARMEN  11.812.381  27-11812381-1   \n",
              "35              VIVALDO        MARÍA ITATÍ  20.458.214  27-20458214-4   \n",
              "36              LORENZO      FERNANDO LUIS  22.608.380  20-22608380-5   \n",
              "37           VESTILLERO   CARLOS SEBASTIAN  25.638.595  20-25638595-4   \n",
              "38               CASTRO     MARIA VICTORIA  22.642.061  23-22642061-4   \n",
              "39      PÉREZ SIMONDINI     ANDREA FABIANA  17.768.992  27-17768992-6   \n",
              "40        CLAVERO MITRE       LILIANA INES  11.176.760  27-11176760-8   \n",
              "41              SÁNCHEZ      MARIANA CLARA  20.205.651  27-20205651-8   \n",
              "42               TALLÓN    MATÍAS NORBERTO  33.498.601  20-33498601-3   \n",
              "43               SUAREZ           FERNANDO  11.633.291  20-11633291-5   \n",
              "44              TARSINO       MARIA EVELYN  23.276.482  27-23276482-7   \n",
              "45     GRIMBERG MARQUEZ              PAULA  27.680.600  27-27680600-4   \n",
              "46                THORP              MARIO  18.179.104  20-18179104-8   \n",
              "47              BARABAN   LORENA ELIZABETH  23.747.106  27-23747106-2   \n",
              "48             FRECHERO           EZEQUIEL  27.746.115  20-27746115-4   \n",
              "49               TORRES        CARLOS HUGO  25.957.223  20-25957223-2   \n",
              "50             BILLERES      GASTON MARTIN  23.301.948  20-23301948-9   \n",
              "51            RODRIGUEZ     EDGARDO JAVIER  21.502.793  20-21502793-8   \n",
              "52            KARPINSKY    ENRIQUE MARCELO  14.877.266  20-14877266-6   \n",
              "53     GRIMBERG MARQUEZ        JUAN CARLOS   7.831.240  20-07831240-9   \n",
              "54      BOGADO GONZALEZ      JULIO BERNABE  27.592.814  20-27592814-4   \n",
              "55                  NaN                NaN         NaN            NaN   \n",
              "\n",
              "         Fecha            Tipo      Importe  \n",
              "0   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "1   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "2   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "3   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "4   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "5   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "6   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "7   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "8   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "9   09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "10  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "11  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "12  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "13  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "14  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "15  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "16  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "17  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "18  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "19  09/10/2013        EFECTIVO  $ 20.000,00  \n",
              "20  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "21  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "22  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "23  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "24  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "25  09/10/2013        EFECTIVO  $ 20.000,00  \n",
              "26  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "27  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "28  09/10/2013        EFECTIVO   $ 5.000,00  \n",
              "29  09/10/2013        EFECTIVO  $ 20.000,00  \n",
              "30  09/10/2013        EFECTIVO   $ 5.000,00  \n",
              "31  09/10/2013        EFECTIVO   $ 5.000,00  \n",
              "32  09/10/2013        EFECTIVO   $ 5.000,00  \n",
              "33  09/10/2013        EFECTIVO   $ 5.000,00  \n",
              "34  09/10/2013        EFECTIVO  $ 20.000,00  \n",
              "35  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "36  09/10/2013        EFECTIVO  $ 15.000,00  \n",
              "37  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "38  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "39  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "40  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "41  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "42  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "43  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "44  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "45  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "46  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "47  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "48  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "49  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "50  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "51  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "52  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "53  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "54  09/10/2013        EFECTIVO  $ 10.000,00  \n",
              "55         ANE  XO I-A-1 Págin   a 12 de 14  "
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pdf_path2 = \"https://github.com/chezou/tabula-py/raw/master/tests/resources/campaign_donors.pdf\"\n",
        "\n",
        "dfs = tabula.read_pdf(pdf_path2, columns=[47, 147, 256, 310, 375, 431, 504], guess=False, pages=1)\n",
        "df = dfs[0].drop([\"Unnamed: 0\"], axis=1)\n",
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "kPjnNeHnuBr9"
      },
      "source": [
        "## Extract to JSON, TSV, or CSV\n",
        "\n",
        "tabula-py has capability to convert not only DataFrame but also JSON, TSV, or CSV. You can set output format with `output_format` option."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "-H1qqAQeluSO",
        "outputId": "45d889d0-bdb3-41b8-f8aa-b7b4c8fa4465"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "'pages' argument isn't specified.Will extract only from page 1 by default.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "[{'extraction_method': 'lattice',\n",
              "  'top': 125.17005,\n",
              "  'left': 247.14917,\n",
              "  'width': 292.90167236328125,\n",
              "  'height': 395.14886474609375,\n",
              "  'right': 540.05084,\n",
              "  'bottom': 520.3189,\n",
              "  'data': [[{'top': 125.17005,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'mpg'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'cyl'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'disp'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'hp'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'drat'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'wt'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'qsec'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'vs'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'am'},\n",
              "    {'top': 125.17005,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.186347961425781,\n",
              "     'text': 'gear'}],\n",
              "   [{'top': 137.3564,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '21.0'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '6'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '160.0'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '110'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '3.90'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '2.620'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '16.46'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '0'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '1'},\n",
              "    {'top': 137.3564,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.352630615234375,\n",
              "     'text': '4'}],\n",
              "   [{'top': 149.70903,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '21.0'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '6'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '160.0'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '110'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3.90'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '2.875'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '17.02'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '0'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '1'},\n",
              "    {'top': 149.70903,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '4'}],\n",
              "   [{'top': 162.0609,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '22.8'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '4'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '108.0'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '93'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '3.85'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '2.320'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '18.61'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '1'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '1'},\n",
              "    {'top': 162.0609,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35662841796875,\n",
              "     'text': '4'}],\n",
              "   [{'top': 174.41753,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '21.4'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '6'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '258.0'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '110'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '3.08'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '3.215'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '19.44'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '1'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '0'},\n",
              "    {'top': 174.41753,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.352005004882812,\n",
              "     'text': '3'}],\n",
              "   [{'top': 186.76953,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '18.7'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '8'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '360.0'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '175'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '3.15'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '3.440'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '17.02'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '0'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '0'},\n",
              "    {'top': 186.76953,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '3'}],\n",
              "   [{'top': 199.12141,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '18.1'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '6'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '225.0'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '105'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '2.76'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '3.460'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '20.22'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '1'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '0'},\n",
              "    {'top': 199.12141,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.356597900390625,\n",
              "     'text': '3'}],\n",
              "   [{'top': 211.47801,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '14.3'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '8'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '360.0'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '245'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '3.21'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '3.570'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '15.84'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '0'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '0'},\n",
              "    {'top': 211.47801,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '3'}],\n",
              "   [{'top': 223.82997,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '24.4'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '4'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '146.7'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '62'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '3.69'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '3.190'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '20.00'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '1'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '0'},\n",
              "    {'top': 223.82997,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351806640625,\n",
              "     'text': '4'}],\n",
              "   [{'top': 236.18178,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '22.8'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '4'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '140.8'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '95'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '3.92'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '3.150'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '22.90'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '1'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '0'},\n",
              "    {'top': 236.18178,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.356719970703125,\n",
              "     'text': '4'}],\n",
              "   [{'top': 248.5385,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '19.2'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '6'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '167.6'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '123'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '3.92'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '3.440'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '18.30'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '1'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '0'},\n",
              "    {'top': 248.5385,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351882934570312,\n",
              "     'text': '4'}],\n",
              "   [{'top': 260.89038,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '17.8'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '6'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '167.6'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '123'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '3.92'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '3.440'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '18.90'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '1'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '0'},\n",
              "    {'top': 260.89038,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.3564453125,\n",
              "     'text': '4'}],\n",
              "   [{'top': 273.24683,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '16.4'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '8'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '275.8'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '180'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '3.07'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '4.070'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '17.40'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '0'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '0'},\n",
              "    {'top': 273.24683,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.352142333984375,\n",
              "     'text': '3'}],\n",
              "   [{'top': 285.59897,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '17.3'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '8'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '275.8'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '180'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3.07'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3.730'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '17.60'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '0'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '0'},\n",
              "    {'top': 285.59897,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3'}],\n",
              "   [{'top': 297.95084,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '15.2'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '8'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '275.8'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '180'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '3.07'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '3.780'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '18.00'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '0'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '0'},\n",
              "    {'top': 297.95084,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '3'}],\n",
              "   [{'top': 310.30792,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '10.4'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '8'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.3515625,\n",
              "     'text': '472.0'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '205'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '2.93'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '5.250'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.3515625,\n",
              "     'text': '17.98'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.3515625,\n",
              "     'text': '0'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.3515625,\n",
              "     'text': '0'},\n",
              "    {'top': 310.30792,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.3515625,\n",
              "     'text': '3'}],\n",
              "   [{'top': 322.6595,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '10.4'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '8'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '460.0'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '215'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3.00'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '5.424'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '17.82'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '0'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '0'},\n",
              "    {'top': 322.6595,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '3'}],\n",
              "   [{'top': 335.01135,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '14.7'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '8'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '440.0'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '230'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '3.23'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '5.345'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '17.42'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '0'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '0'},\n",
              "    {'top': 335.01135,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.357086181640625,\n",
              "     'text': '3'}],\n",
              "   [{'top': 347.36844,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '32.4'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '4'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '78.7'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '66'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '4.08'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '2.200'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '19.47'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '1'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '1'},\n",
              "    {'top': 347.36844,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '4'}],\n",
              "   [{'top': 359.71997,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '30.4'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '4'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '75.7'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '52'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '4.93'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '1.615'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '18.52'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '1'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '1'},\n",
              "    {'top': 359.71997,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.3570556640625,\n",
              "     'text': '4'}],\n",
              "   [{'top': 372.07703,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '33.9'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '4'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '71.1'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '65'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '4.22'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '1.835'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '19.90'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '1'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '1'},\n",
              "    {'top': 372.07703,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351959228515625,\n",
              "     'text': '4'}],\n",
              "   [{'top': 384.429,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '21.5'},\n",
              "    {'top': 384.429,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '4'},\n",
              "    {'top': 384.429,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '120.1'},\n",
              "    {'top': 384.429,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '97'},\n",
              "    {'top': 384.429,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '3.70'},\n",
              "    {'top': 384.429,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '2.465'},\n",
              "    {'top': 384.429,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '20.01'},\n",
              "    {'top': 384.429,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '1'},\n",
              "    {'top': 384.429,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '0'},\n",
              "    {'top': 384.429,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351531982421875,\n",
              "     'text': '3'}],\n",
              "   [{'top': 396.78052,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '15.5'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '8'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '318.0'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '150'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '2.76'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '3.520'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '16.87'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '0'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '0'},\n",
              "    {'top': 396.78052,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '3'}],\n",
              "   [{'top': 409.13754,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '15.2'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '8'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '304.0'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '150'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '3.15'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '3.435'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '17.30'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '0'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '0'},\n",
              "    {'top': 409.13754,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35205078125,\n",
              "     'text': '3'}],\n",
              "   [{'top': 421.4896,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '13.3'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '8'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '350.0'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '245'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '3.73'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '3.840'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '15.41'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '0'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '0'},\n",
              "    {'top': 421.4896,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351348876953125,\n",
              "     'text': '3'}],\n",
              "   [{'top': 433.84094,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '19.2'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '8'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '400.0'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '175'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '3.08'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '3.845'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '17.05'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '0'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '0'},\n",
              "    {'top': 433.84094,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.357208251953125,\n",
              "     'text': '3'}],\n",
              "   [{'top': 446.19815,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '27.3'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '4'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '79.0'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '66'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '4.08'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '1.935'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '18.90'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '1'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '1'},\n",
              "    {'top': 446.19815,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35186767578125,\n",
              "     'text': '4'}],\n",
              "   [{'top': 458.55002,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '26.0'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '4'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '120.3'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '91'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '4.43'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '2.140'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '16.70'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '0'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '1'},\n",
              "    {'top': 458.55002,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35150146484375,\n",
              "     'text': '5'}],\n",
              "   [{'top': 470.90152,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '30.4'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '4'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '95.1'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '113'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '3.77'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '1.513'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '16.90'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '1'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '1'},\n",
              "    {'top': 470.90152,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.357025146484375,\n",
              "     'text': '5'}],\n",
              "   [{'top': 483.25854,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '15.8'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '8'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '351.0'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '264'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '4.22'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '3.170'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '14.50'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '0'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '1'},\n",
              "    {'top': 483.25854,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.351776123046875,\n",
              "     'text': '5'}],\n",
              "   [{'top': 495.61032,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '19.7'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '6'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '145.0'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '175'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '3.62'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '2.770'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '15.50'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '0'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '1'},\n",
              "    {'top': 495.61032,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.356109619140625,\n",
              "     'text': '5'}],\n",
              "   [{'top': 507.96643,\n",
              "     'left': 247.14917,\n",
              "     'width': 30.773834228515625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '15.0'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 277.923,\n",
              "     'width': 24.407867431640625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '8'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 302.33087,\n",
              "     'width': 34.6478271484375,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '301.0'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 336.9787,\n",
              "     'width': 26.899566650390625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '335'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 363.87827,\n",
              "     'width': 30.24810791015625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '3.54'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 394.12637,\n",
              "     'width': 34.64752197265625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '3.570'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 428.7739,\n",
              "     'width': 34.64801025390625,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '14.60'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 463.4219,\n",
              "     'width': 21.1429443359375,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '0'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 484.56485,\n",
              "     'width': 25.238006591796875,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '1'},\n",
              "    {'top': 507.96643,\n",
              "     'left': 509.80286,\n",
              "     'width': 30.24798583984375,\n",
              "     'height': 12.35247802734375,\n",
              "     'text': '5'}]]}]"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# read pdf as JSON\n",
        "tabula.read_pdf(pdf_path, output_format=\"json\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "tzXgZzOLuchk"
      },
      "source": [
        "## Convert PDF tables into CSV, TSV, or JSON files\n",
        "\n",
        "You can convert files directly rather creating Python objects with `convert_into()` function."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 163
        },
        "colab_type": "code",
        "id": "7wA5RL3SluSV",
        "outputId": "7c740d0a-1a85-42fb-9f3d-c351a93a336f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "'pages' argument isn't specified.Will extract only from page 1 by default.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[{\"extraction_method\":\"stream\",\"top\":124.0,\"left\":154.0,\"width\":411.0,\"height\":408.0,\"right\":565.0,\"bottom\":532.0,\"data\":[[{\"top\":0.0,\"left\":0.0,\"width\":0.0,\"height\":0.0,\"text\":\"\"},{\"top\":129.15,\"left\":253.13,\"width\":20.36700439453125,\"height\":4.420000076293945,\"text\":\"mpg\"},{\"top\":129.15,\"left\":283.9,\"width\":13.915863037109375,\"height\":4.420000076293945,\"text\":\"cyl\"},{\"top\":129.15,\"left\":313.23,\"width\":19.3109130859375,\"height\":4.420000076293945,\"text\":\"disp\"},{\"top\":129.15,\"left\":346.83,\"width\":12.783050537109375,\"height\":4.420000076293945,\"text\":\"hp\"},{\"top\":129.15,\"left\":369.86,\"width\":20.029754638671875,\"height\":4.420000076293945,\"text\":\"drat\"},{\"top\":129.15,\"left\":411.73,\"width\":12.568695068359375,\"height\":4.420000076293945,\"text\":\"wt\"},{\"top\":129.15,\"left\":439.4,\"width\":19.508636474609375,\"height\":4.420000076293945,\"text\":\"qsec\"},{\"top\":129.15,\"left\":469.4,\"width\":10.634918212890625,\"height\":4.420000076293945,\"text\":\"vs\"},{\"top\":129.15,\"left\":490.54,\"width\":15.031646728515625,\"height\":4.420000076293945,\"text\":\"am\"},{\"top\":129.15,\"left\":515.78,\"width\":19.665771484375,\"height\":4.420000076293945,\"text\":\"gear\"},{\"top\":129.15,\"left\":546.03,\"width\":18.849998474121094,\"height\":4.420000076293945,\"text\":\"carb\"}],[{\"top\":141.5,\"left\":154.69,\"width\":53.80647277832031,\"height\":4.420000076293945,\"text\":\"Mazda RX4\"},{\"top\":141.5,\"left\":254.23,\"width\":19.141342163085938,\"height\":4.420000076293945,\"text\":\"21.0\"},{\"top\":141.5,\"left\":291.37,\"width\":6.565704345703125,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":141.5,\"left\":308.31,\"width\":24.1099853515625,\"height\":4.420000076293945,\"text\":\"160.0\"},{\"top\":141.5,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"110\"},{\"top\":141.5,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.90\"},{\"top\":141.5,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"2.620\"},{\"top\":141.5,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"16.46\"},{\"top\":141.5,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":141.5,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":141.5,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":141.5,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":153.85,\"left\":154.69,\"width\":76.44853210449219,\"height\":4.420000076293945,\"text\":\"Mazda RX4 Wag\"},{\"top\":153.85,\"left\":254.23,\"width\":19.139389038085938,\"height\":4.420000076293945,\"text\":\"21.0\"},{\"top\":153.85,\"left\":291.37,\"width\":6.5650634765625,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":153.85,\"left\":308.31,\"width\":24.1099853515625,\"height\":4.420000076293945,\"text\":\"160.0\"},{\"top\":153.85,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"110\"},{\"top\":153.85,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.90\"},{\"top\":153.85,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"2.875\"},{\"top\":153.85,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.02\"},{\"top\":153.85,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":153.85,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":153.85,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":153.85,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":166.21,\"left\":154.69,\"width\":51.26588439941406,\"height\":4.420000076293945,\"text\":\"Datsun 710\"},{\"top\":166.21,\"left\":254.23,\"width\":19.136825561523438,\"height\":4.420000076293945,\"text\":\"22.8\"},{\"top\":166.21,\"left\":291.37,\"width\":6.564239501953125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":166.21,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"108.0\"},{\"top\":166.21,\"left\":347.94,\"width\":11.498016357421875,\"height\":4.420000076293945,\"text\":\"93\"},{\"top\":166.21,\"left\":370.44,\"width\":19.178375244140625,\"height\":4.420000076293945,\"text\":\"3.85\"},{\"top\":166.21,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"2.320\"},{\"top\":166.21,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.61\"},{\"top\":166.21,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":166.21,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":166.21,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":166.21,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":178.56,\"left\":154.69,\"width\":66.93666076660156,\"height\":4.420000076293945,\"text\":\"Hornet 4 Drive\"},{\"top\":178.56,\"left\":254.23,\"width\":19.127243041992188,\"height\":4.420000076293945,\"text\":\"21.4\"},{\"top\":178.56,\"left\":291.37,\"width\":6.561126708984375,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":178.56,\"left\":308.31,\"width\":24.109893798828125,\"height\":4.420000076293945,\"text\":\"258.0\"},{\"top\":178.56,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"110\"},{\"top\":178.56,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.08\"},{\"top\":178.56,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.215\"},{\"top\":178.56,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"19.44\"},{\"top\":178.56,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":178.56,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":178.56,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":178.56,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":190.91,\"left\":154.69,\"width\":84.23333740234375,\"height\":4.420000076293945,\"text\":\"Hornet Sportabout\"},{\"top\":190.91,\"left\":254.23,\"width\":19.122268676757812,\"height\":4.420000076293945,\"text\":\"18.7\"},{\"top\":190.91,\"left\":291.37,\"width\":6.55950927734375,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":190.91,\"left\":308.31,\"width\":24.10986328125,\"height\":4.420000076293945,\"text\":\"360.0\"},{\"top\":190.91,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"175\"},{\"top\":190.91,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.15\"},{\"top\":190.91,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.440\"},{\"top\":190.91,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.02\"},{\"top\":190.91,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":190.91,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":190.91,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":190.91,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":203.27,\"left\":154.69,\"width\":32.67486572265625,\"height\":4.420000076293945,\"text\":\"Valiant\"},{\"top\":203.27,\"left\":254.23,\"width\":19.121109008789062,\"height\":4.420000076293945,\"text\":\"18.1\"},{\"top\":203.27,\"left\":291.37,\"width\":6.559112548828125,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":203.27,\"left\":308.31,\"width\":24.10986328125,\"height\":4.420000076293945,\"text\":\"225.0\"},{\"top\":203.27,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"105\"},{\"top\":203.27,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"2.76\"},{\"top\":203.27,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.460\"},{\"top\":203.27,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"20.22\"},{\"top\":203.27,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":203.27,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":203.27,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":203.27,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":215.62,\"left\":154.69,\"width\":49.03193664550781,\"height\":4.420000076293945,\"text\":\"Duster 360\"},{\"top\":215.62,\"left\":254.23,\"width\":19.135055541992188,\"height\":4.420000076293945,\"text\":\"14.3\"},{\"top\":215.62,\"left\":291.37,\"width\":6.56365966796875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":215.62,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"360.0\"},{\"top\":215.62,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"245\"},{\"top\":215.62,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.21\"},{\"top\":215.62,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.570\"},{\"top\":215.62,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"15.84\"},{\"top\":215.62,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":215.62,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":215.62,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":215.62,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":227.97,\"left\":154.69,\"width\":49.458343505859375,\"height\":4.420000076293945,\"text\":\"Merc 240D\"},{\"top\":227.97,\"left\":254.23,\"width\":19.168106079101562,\"height\":4.420000076293945,\"text\":\"24.4\"},{\"top\":227.97,\"left\":291.37,\"width\":6.57440185546875,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":227.97,\"left\":308.31,\"width\":24.11016845703125,\"height\":4.420000076293945,\"text\":\"146.7\"},{\"top\":227.97,\"left\":347.94,\"width\":11.498046875,\"height\":4.420000076293945,\"text\":\"62\"},{\"top\":227.97,\"left\":370.44,\"width\":19.178375244140625,\"height\":4.420000076293945,\"text\":\"3.69\"},{\"top\":227.97,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"3.190\"},{\"top\":227.97,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"20.00\"},{\"top\":227.97,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":227.97,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":227.97,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":227.97,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":240.33,\"left\":154.69,\"width\":41.658203125,\"height\":4.420000076293945,\"text\":\"Merc 230\"},{\"top\":240.33,\"left\":254.23,\"width\":19.135726928710938,\"height\":4.420000076293945,\"text\":\"22.8\"},{\"top\":240.33,\"left\":291.37,\"width\":6.563873291015625,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":240.33,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"140.8\"},{\"top\":240.33,\"left\":347.94,\"width\":11.498016357421875,\"height\":4.420000076293945,\"text\":\"95\"},{\"top\":240.33,\"left\":370.44,\"width\":19.178375244140625,\"height\":4.420000076293945,\"text\":\"3.92\"},{\"top\":240.33,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"3.150\"},{\"top\":240.33,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"22.90\"},{\"top\":240.33,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":240.33,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":240.33,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":240.33,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":252.68,\"left\":154.69,\"width\":41.658203125,\"height\":4.420000076293945,\"text\":\"Merc 280\"},{\"top\":252.68,\"left\":254.23,\"width\":19.135726928710938,\"height\":4.420000076293945,\"text\":\"19.2\"},{\"top\":252.68,\"left\":291.37,\"width\":6.563873291015625,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":252.68,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"167.6\"},{\"top\":252.68,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"123\"},{\"top\":252.68,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.92\"},{\"top\":252.68,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.440\"},{\"top\":252.68,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.30\"},{\"top\":252.68,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":252.68,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":252.68,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":252.68,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":265.04,\"left\":154.69,\"width\":49.00685119628906,\"height\":4.420000076293945,\"text\":\"Merc 280C\"},{\"top\":265.04,\"left\":254.23,\"width\":19.162887573242188,\"height\":4.420000076293945,\"text\":\"17.8\"},{\"top\":265.04,\"left\":291.37,\"width\":6.57269287109375,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":265.04,\"left\":308.31,\"width\":24.110137939453125,\"height\":4.420000076293945,\"text\":\"167.6\"},{\"top\":265.04,\"left\":342.96,\"width\":16.4560546875,\"height\":4.420000076293945,\"text\":\"123\"},{\"top\":265.04,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.92\"},{\"top\":265.04,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.440\"},{\"top\":265.04,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.90\"},{\"top\":265.04,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":265.04,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":265.04,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":265.04,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":277.39,\"left\":154.69,\"width\":54.12355041503906,\"height\":4.420000076293945,\"text\":\"Merc 450SE\"},{\"top\":277.39,\"left\":254.23,\"width\":19.158493041992188,\"height\":4.420000076293945,\"text\":\"16.4\"},{\"top\":277.39,\"left\":291.37,\"width\":6.571258544921875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":277.39,\"left\":308.31,\"width\":24.110107421875,\"height\":4.420000076293945,\"text\":\"275.8\"},{\"top\":277.39,\"left\":342.96,\"width\":16.4560546875,\"height\":4.420000076293945,\"text\":\"180\"},{\"top\":277.39,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.07\"},{\"top\":277.39,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"4.070\"},{\"top\":277.39,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.40\"},{\"top\":277.39,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":277.39,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":277.39,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":277.39,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"3\"}],[{\"top\":289.74,\"left\":154.69,\"width\":53.53230285644531,\"height\":4.420000076293945,\"text\":\"Merc 450SL\"},{\"top\":289.74,\"left\":254.23,\"width\":19.151657104492188,\"height\":4.420000076293945,\"text\":\"17.3\"},{\"top\":289.74,\"left\":291.37,\"width\":6.569061279296875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":289.74,\"left\":308.31,\"width\":24.11004638671875,\"height\":4.420000076293945,\"text\":\"275.8\"},{\"top\":289.74,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"180\"},{\"top\":289.74,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.07\"},{\"top\":289.74,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.730\"},{\"top\":289.74,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.60\"},{\"top\":289.74,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":289.74,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":289.74,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":289.74,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"3\"}],[{\"top\":302.1,\"left\":154.69,\"width\":60.81890869140625,\"height\":4.420000076293945,\"text\":\"Merc 450SLC\"},{\"top\":302.1,\"left\":254.23,\"width\":19.164993286132812,\"height\":4.420000076293945,\"text\":\"15.2\"},{\"top\":302.1,\"left\":291.37,\"width\":6.573394775390625,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":302.1,\"left\":308.31,\"width\":24.110137939453125,\"height\":4.420000076293945,\"text\":\"275.8\"},{\"top\":302.1,\"left\":342.96,\"width\":16.4560546875,\"height\":4.420000076293945,\"text\":\"180\"},{\"top\":302.1,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.07\"},{\"top\":302.1,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.780\"},{\"top\":302.1,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.00\"},{\"top\":302.1,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":302.1,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":302.1,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":302.1,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"3\"}],[{\"top\":314.45,\"left\":154.69,\"width\":84.98869323730469,\"height\":4.420000076293945,\"text\":\"Cadillac Fleetwood\"},{\"top\":314.45,\"left\":254.23,\"width\":19.142623901367188,\"height\":4.420000076293945,\"text\":\"10.4\"},{\"top\":314.45,\"left\":291.37,\"width\":6.56610107421875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":314.45,\"left\":308.31,\"width\":24.110015869140625,\"height\":4.420000076293945,\"text\":\"472.0\"},{\"top\":314.45,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"205\"},{\"top\":314.45,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"2.93\"},{\"top\":314.45,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"5.250\"},{\"top\":314.45,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.98\"},{\"top\":314.45,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":314.45,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":314.45,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":314.45,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":326.8,\"left\":154.69,\"width\":87.79859924316406,\"height\":4.420000076293945,\"text\":\"Lincoln Continental\"},{\"top\":326.8,\"left\":254.23,\"width\":19.106887817382812,\"height\":4.420000076293945,\"text\":\"10.4\"},{\"top\":326.8,\"left\":291.37,\"width\":6.55450439453125,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":326.8,\"left\":308.31,\"width\":24.109771728515625,\"height\":4.420000076293945,\"text\":\"460.0\"},{\"top\":326.8,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"215\"},{\"top\":326.8,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.00\"},{\"top\":326.8,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"5.424\"},{\"top\":326.8,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.82\"},{\"top\":326.8,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":326.8,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":326.8,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":326.8,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":339.16,\"left\":154.69,\"width\":78.07864379882812,\"height\":4.420000076293945,\"text\":\"Chrysler Imperial\"},{\"top\":339.16,\"left\":254.23,\"width\":19.105667114257812,\"height\":4.420000076293945,\"text\":\"14.7\"},{\"top\":339.16,\"left\":291.37,\"width\":6.554107666015625,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":339.16,\"left\":308.31,\"width\":24.109771728515625,\"height\":4.420000076293945,\"text\":\"440.0\"},{\"top\":339.16,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"230\"},{\"top\":339.16,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.23\"},{\"top\":339.16,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"5.345\"},{\"top\":339.16,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.42\"},{\"top\":339.16,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":339.16,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":339.16,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":339.16,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":351.51,\"left\":154.69,\"width\":37.883056640625,\"height\":4.420000076293945,\"text\":\"Fiat 128\"},{\"top\":351.51,\"left\":254.23,\"width\":19.135086059570312,\"height\":4.420000076293945,\"text\":\"32.4\"},{\"top\":351.51,\"left\":291.37,\"width\":6.56365966796875,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":351.51,\"left\":313.29,\"width\":19.138763427734375,\"height\":4.420000076293945,\"text\":\"78.7\"},{\"top\":351.51,\"left\":347.94,\"width\":11.49945068359375,\"height\":4.420000076293945,\"text\":\"66\"},{\"top\":351.51,\"left\":370.44,\"width\":19.178436279296875,\"height\":4.420000076293945,\"text\":\"4.08\"},{\"top\":351.51,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"2.200\"},{\"top\":351.51,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"19.47\"},{\"top\":351.51,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":351.51,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":351.51,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":351.51,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":363.87,\"left\":154.69,\"width\":55.60911560058594,\"height\":4.420000076293945,\"text\":\"Honda Civic\"},{\"top\":363.87,\"left\":254.23,\"width\":19.124923706054688,\"height\":4.420000076293945,\"text\":\"30.4\"},{\"top\":363.87,\"left\":291.37,\"width\":6.56036376953125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":363.87,\"left\":313.29,\"width\":19.138641357421875,\"height\":4.420000076293945,\"text\":\"75.7\"},{\"top\":363.87,\"left\":347.94,\"width\":11.499420166015625,\"height\":4.420000076293945,\"text\":\"52\"},{\"top\":363.87,\"left\":370.44,\"width\":19.178436279296875,\"height\":4.420000076293945,\"text\":\"4.93\"},{\"top\":363.87,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"1.615\"},{\"top\":363.87,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.52\"},{\"top\":363.87,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":363.87,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":363.87,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":363.87,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":376.22,\"left\":154.69,\"width\":66.14790344238281,\"height\":4.420000076293945,\"text\":\"Toyota Corolla\"},{\"top\":376.22,\"left\":254.23,\"width\":19.130020141601562,\"height\":4.420000076293945,\"text\":\"33.9\"},{\"top\":376.22,\"left\":291.37,\"width\":6.56201171875,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":376.22,\"left\":313.29,\"width\":19.138702392578125,\"height\":4.420000076293945,\"text\":\"71.1\"},{\"top\":376.22,\"left\":347.94,\"width\":11.49945068359375,\"height\":4.420000076293945,\"text\":\"65\"},{\"top\":376.22,\"left\":370.44,\"width\":19.178436279296875,\"height\":4.420000076293945,\"text\":\"4.22\"},{\"top\":376.22,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"1.835\"},{\"top\":376.22,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"19.90\"},{\"top\":376.22,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":376.22,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":376.22,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":376.22,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":388.57,\"left\":154.69,\"width\":66.29142761230469,\"height\":4.420000076293945,\"text\":\"Toyota Corona\"},{\"top\":388.57,\"left\":254.23,\"width\":19.135848999023438,\"height\":4.420000076293945,\"text\":\"21.5\"},{\"top\":388.57,\"left\":291.37,\"width\":6.56390380859375,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":388.57,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"120.1\"},{\"top\":388.57,\"left\":347.94,\"width\":11.498016357421875,\"height\":4.420000076293945,\"text\":\"97\"},{\"top\":388.57,\"left\":370.44,\"width\":19.178375244140625,\"height\":4.420000076293945,\"text\":\"3.70\"},{\"top\":388.57,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"2.465\"},{\"top\":388.57,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"20.01\"},{\"top\":388.57,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":388.57,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":388.57,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":388.57,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":400.93,\"left\":154.69,\"width\":79.03778076171875,\"height\":4.420000076293945,\"text\":\"Dodge Challenger\"},{\"top\":400.93,\"left\":254.23,\"width\":19.120712280273438,\"height\":4.420000076293945,\"text\":\"15.5\"},{\"top\":400.93,\"left\":291.37,\"width\":6.558990478515625,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":400.93,\"left\":308.31,\"width\":24.10986328125,\"height\":4.420000076293945,\"text\":\"318.0\"},{\"top\":400.93,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"150\"},{\"top\":400.93,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"2.76\"},{\"top\":400.93,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.520\"},{\"top\":400.93,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"16.87\"},{\"top\":400.93,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":400.93,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":400.93,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":400.93,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":413.28,\"left\":154.69,\"width\":58.84425354003906,\"height\":4.420000076293945,\"text\":\"AMC Javelin\"},{\"top\":413.28,\"left\":254.23,\"width\":19.137161254882812,\"height\":4.420000076293945,\"text\":\"15.2\"},{\"top\":413.28,\"left\":291.37,\"width\":6.5643310546875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":413.28,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"304.0\"},{\"top\":413.28,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"150\"},{\"top\":413.28,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.15\"},{\"top\":413.28,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.435\"},{\"top\":413.28,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.30\"},{\"top\":413.28,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":413.28,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":413.28,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":413.28,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":425.63,\"left\":154.69,\"width\":55.245391845703125,\"height\":4.420000076293945,\"text\":\"Camaro Z28\"},{\"top\":425.63,\"left\":254.23,\"width\":19.136825561523438,\"height\":4.420000076293945,\"text\":\"13.3\"},{\"top\":425.63,\"left\":291.37,\"width\":6.564239501953125,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":425.63,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"350.0\"},{\"top\":425.63,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"245\"},{\"top\":425.63,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.73\"},{\"top\":425.63,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.840\"},{\"top\":425.63,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"15.41\"},{\"top\":425.63,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":425.63,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":425.63,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":425.63,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":437.99,\"left\":154.69,\"width\":72.91252136230469,\"height\":4.420000076293945,\"text\":\"Pontiac Firebird\"},{\"top\":437.99,\"left\":254.23,\"width\":19.138717651367188,\"height\":4.420000076293945,\"text\":\"19.2\"},{\"top\":437.99,\"left\":291.37,\"width\":6.564849853515625,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":437.99,\"left\":308.31,\"width\":24.1099853515625,\"height\":4.420000076293945,\"text\":\"400.0\"},{\"top\":437.99,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"175\"},{\"top\":437.99,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.08\"},{\"top\":437.99,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.845\"},{\"top\":437.99,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"17.05\"},{\"top\":437.99,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":437.99,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":437.99,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"3\"},{\"top\":437.99,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":450.34,\"left\":154.69,\"width\":43.646453857421875,\"height\":4.420000076293945,\"text\":\"Fiat X1-9\"},{\"top\":450.34,\"left\":254.23,\"width\":19.133193969726562,\"height\":4.420000076293945,\"text\":\"27.3\"},{\"top\":450.34,\"left\":291.37,\"width\":6.56304931640625,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":450.34,\"left\":313.29,\"width\":19.13873291015625,\"height\":4.420000076293945,\"text\":\"79.0\"},{\"top\":450.34,\"left\":347.94,\"width\":11.49945068359375,\"height\":4.420000076293945,\"text\":\"66\"},{\"top\":450.34,\"left\":370.44,\"width\":19.178436279296875,\"height\":4.420000076293945,\"text\":\"4.08\"},{\"top\":450.34,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"1.935\"},{\"top\":450.34,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.90\"},{\"top\":450.34,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":450.34,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":450.34,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":450.34,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"1\"}],[{\"top\":462.69,\"left\":154.69,\"width\":61.43531799316406,\"height\":4.420000076293945,\"text\":\"Porsche 914-2\"},{\"top\":462.69,\"left\":254.23,\"width\":19.132766723632812,\"height\":4.420000076293945,\"text\":\"26.0\"},{\"top\":462.69,\"left\":291.37,\"width\":6.562896728515625,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":462.69,\"left\":308.31,\"width\":24.10992431640625,\"height\":4.420000076293945,\"text\":\"120.3\"},{\"top\":462.69,\"left\":347.94,\"width\":11.498016357421875,\"height\":4.420000076293945,\"text\":\"91\"},{\"top\":462.69,\"left\":370.44,\"width\":19.178375244140625,\"height\":4.420000076293945,\"text\":\"4.43\"},{\"top\":462.69,\"left\":400.1,\"width\":24.169769287109375,\"height\":4.420000076293945,\"text\":\"2.140\"},{\"top\":462.69,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"16.70\"},{\"top\":462.69,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":462.69,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":462.69,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"5\"},{\"top\":462.69,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":475.05,\"left\":154.69,\"width\":61.090576171875,\"height\":4.420000076293945,\"text\":\"Lotus Europa\"},{\"top\":475.05,\"left\":254.23,\"width\":19.135818481445312,\"height\":4.420000076293945,\"text\":\"30.4\"},{\"top\":475.05,\"left\":291.37,\"width\":6.56390380859375,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":475.05,\"left\":313.29,\"width\":19.138763427734375,\"height\":4.420000076293945,\"text\":\"95.1\"},{\"top\":475.05,\"left\":342.96,\"width\":16.456756591796875,\"height\":4.420000076293945,\"text\":\"113\"},{\"top\":475.05,\"left\":370.44,\"width\":19.177520751953125,\"height\":4.420000076293945,\"text\":\"3.77\"},{\"top\":475.05,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"1.513\"},{\"top\":475.05,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"16.90\"},{\"top\":475.05,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":475.05,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":475.05,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"5\"},{\"top\":475.05,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}],[{\"top\":487.4,\"left\":154.69,\"width\":68.54920959472656,\"height\":4.420000076293945,\"text\":\"Ford Pantera L\"},{\"top\":487.4,\"left\":254.23,\"width\":19.153152465820312,\"height\":4.420000076293945,\"text\":\"15.8\"},{\"top\":487.4,\"left\":291.37,\"width\":6.569549560546875,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":487.4,\"left\":308.31,\"width\":24.110076904296875,\"height\":4.420000076293945,\"text\":\"351.0\"},{\"top\":487.4,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"264\"},{\"top\":487.4,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"4.22\"},{\"top\":487.4,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.170\"},{\"top\":487.4,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"14.50\"},{\"top\":487.4,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":487.4,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":487.4,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"5\"},{\"top\":487.4,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"4\"}],[{\"top\":499.76,\"left\":154.69,\"width\":55.24394226074219,\"height\":4.420000076293945,\"text\":\"Ferrari Dino\"},{\"top\":499.76,\"left\":254.23,\"width\":19.134323120117188,\"height\":4.420000076293945,\"text\":\"19.7\"},{\"top\":499.76,\"left\":291.37,\"width\":6.56341552734375,\"height\":4.420000076293945,\"text\":\"6\"},{\"top\":499.76,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"145.0\"},{\"top\":499.76,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"175\"},{\"top\":499.76,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.62\"},{\"top\":499.76,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"2.770\"},{\"top\":499.76,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"15.50\"},{\"top\":499.76,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":499.76,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":499.76,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"5\"},{\"top\":499.76,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"6\"}],[{\"top\":512.11,\"left\":154.69,\"width\":63.6805419921875,\"height\":4.420000076293945,\"text\":\"Maserati Bora\"},{\"top\":512.11,\"left\":254.23,\"width\":19.133377075195312,\"height\":4.420000076293945,\"text\":\"15.0\"},{\"top\":512.11,\"left\":291.37,\"width\":6.5631103515625,\"height\":4.420000076293945,\"text\":\"8\"},{\"top\":512.11,\"left\":308.31,\"width\":24.109954833984375,\"height\":4.420000076293945,\"text\":\"301.0\"},{\"top\":512.11,\"left\":342.96,\"width\":16.456024169921875,\"height\":4.420000076293945,\"text\":\"335\"},{\"top\":512.11,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"3.54\"},{\"top\":512.11,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"3.570\"},{\"top\":512.11,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"14.60\"},{\"top\":512.11,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"0\"},{\"top\":512.11,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":512.11,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"5\"},{\"top\":512.11,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"8\"}],[{\"top\":524.46,\"left\":154.69,\"width\":51.04241943359375,\"height\":4.420000076293945,\"text\":\"Volvo 142E\"},{\"top\":524.46,\"left\":254.23,\"width\":19.158035278320312,\"height\":4.420000076293945,\"text\":\"21.4\"},{\"top\":524.46,\"left\":291.37,\"width\":6.571136474609375,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":524.46,\"left\":308.31,\"width\":24.110107421875,\"height\":4.420000076293945,\"text\":\"121.0\"},{\"top\":524.46,\"left\":342.96,\"width\":16.4560546875,\"height\":4.420000076293945,\"text\":\"109\"},{\"top\":524.46,\"left\":370.44,\"width\":19.177490234375,\"height\":4.420000076293945,\"text\":\"4.11\"},{\"top\":524.46,\"left\":400.1,\"width\":24.16973876953125,\"height\":4.420000076293945,\"text\":\"2.780\"},{\"top\":524.46,\"left\":434.75,\"width\":24.1492919921875,\"height\":4.420000076293945,\"text\":\"18.60\"},{\"top\":524.46,\"left\":473.61,\"width\":6.57476806640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":524.46,\"left\":498.85,\"width\":6.618804931640625,\"height\":4.420000076293945,\"text\":\"1\"},{\"top\":524.46,\"left\":529.09,\"width\":6.63311767578125,\"height\":4.420000076293945,\"text\":\"4\"},{\"top\":524.46,\"left\":559.89,\"width\":4.980000019073486,\"height\":4.420000076293945,\"text\":\"2\"}]]}]"
          ]
        }
      ],
      "source": [
        "# You can convert from pdf into JSON, CSV, TSV\n",
        "\n",
        "tabula.convert_into(pdf_path, \"test.json\", output_format=\"json\", stream=True)\n",
        "!cat test.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 701
        },
        "colab_type": "code",
        "id": "RASBy7Y5luSf",
        "outputId": "0c27def2-8832-4b97-c49d-22c65896d79f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "'pages' argument isn't specified.Will extract only from page 1 by default.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\"\"\tmpg\tcyl\tdisp\thp\tdrat\twt\tqsec\tvs\tam\tgear\tcarb\n",
            "Mazda RX4\t21.0\t6\t160.0\t110\t3.90\t2.620\t16.46\t0\t1\t4\t4\n",
            "Mazda RX4 Wag\t21.0\t6\t160.0\t110\t3.90\t2.875\t17.02\t0\t1\t4\t4\n",
            "Datsun 710\t22.8\t4\t108.0\t93\t3.85\t2.320\t18.61\t1\t1\t4\t1\n",
            "Hornet 4 Drive\t21.4\t6\t258.0\t110\t3.08\t3.215\t19.44\t1\t0\t3\t1\n",
            "Hornet Sportabout\t18.7\t8\t360.0\t175\t3.15\t3.440\t17.02\t0\t0\t3\t2\n",
            "Valiant\t18.1\t6\t225.0\t105\t2.76\t3.460\t20.22\t1\t0\t3\t1\n",
            "Duster 360\t14.3\t8\t360.0\t245\t3.21\t3.570\t15.84\t0\t0\t3\t4\n",
            "Merc 240D\t24.4\t4\t146.7\t62\t3.69\t3.190\t20.00\t1\t0\t4\t2\n",
            "Merc 230\t22.8\t4\t140.8\t95\t3.92\t3.150\t22.90\t1\t0\t4\t2\n",
            "Merc 280\t19.2\t6\t167.6\t123\t3.92\t3.440\t18.30\t1\t0\t4\t4\n",
            "Merc 280C\t17.8\t6\t167.6\t123\t3.92\t3.440\t18.90\t1\t0\t4\t4\n",
            "Merc 450SE\t16.4\t8\t275.8\t180\t3.07\t4.070\t17.40\t0\t0\t3\t3\n",
            "Merc 450SL\t17.3\t8\t275.8\t180\t3.07\t3.730\t17.60\t0\t0\t3\t3\n",
            "Merc 450SLC\t15.2\t8\t275.8\t180\t3.07\t3.780\t18.00\t0\t0\t3\t3\n",
            "Cadillac Fleetwood\t10.4\t8\t472.0\t205\t2.93\t5.250\t17.98\t0\t0\t3\t4\n",
            "Lincoln Continental\t10.4\t8\t460.0\t215\t3.00\t5.424\t17.82\t0\t0\t3\t4\n",
            "Chrysler Imperial\t14.7\t8\t440.0\t230\t3.23\t5.345\t17.42\t0\t0\t3\t4\n",
            "Fiat 128\t32.4\t4\t78.7\t66\t4.08\t2.200\t19.47\t1\t1\t4\t1\n",
            "Honda Civic\t30.4\t4\t75.7\t52\t4.93\t1.615\t18.52\t1\t1\t4\t2\n",
            "Toyota Corolla\t33.9\t4\t71.1\t65\t4.22\t1.835\t19.90\t1\t1\t4\t1\n",
            "Toyota Corona\t21.5\t4\t120.1\t97\t3.70\t2.465\t20.01\t1\t0\t3\t1\n",
            "Dodge Challenger\t15.5\t8\t318.0\t150\t2.76\t3.520\t16.87\t0\t0\t3\t2\n",
            "AMC Javelin\t15.2\t8\t304.0\t150\t3.15\t3.435\t17.30\t0\t0\t3\t2\n",
            "Camaro Z28\t13.3\t8\t350.0\t245\t3.73\t3.840\t15.41\t0\t0\t3\t4\n",
            "Pontiac Firebird\t19.2\t8\t400.0\t175\t3.08\t3.845\t17.05\t0\t0\t3\t2\n",
            "Fiat X1-9\t27.3\t4\t79.0\t66\t4.08\t1.935\t18.90\t1\t1\t4\t1\n",
            "Porsche 914-2\t26.0\t4\t120.3\t91\t4.43\t2.140\t16.70\t0\t1\t5\t2\n",
            "Lotus Europa\t30.4\t4\t95.1\t113\t3.77\t1.513\t16.90\t1\t1\t5\t2\n",
            "Ford Pantera L\t15.8\t8\t351.0\t264\t4.22\t3.170\t14.50\t0\t1\t5\t4\n",
            "Ferrari Dino\t19.7\t6\t145.0\t175\t3.62\t2.770\t15.50\t0\t1\t5\t6\n",
            "Maserati Bora\t15.0\t8\t301.0\t335\t3.54\t3.570\t14.60\t0\t1\t5\t8\n",
            "Volvo 142E\t21.4\t4\t121.0\t109\t4.11\t2.780\t18.60\t1\t1\t4\t2\n"
          ]
        }
      ],
      "source": [
        "tabula.convert_into(pdf_path, \"test.tsv\", output_format=\"tsv\", stream=True)\n",
        "!cat test.tsv"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 719
        },
        "colab_type": "code",
        "id": "9WPnL5QwluSo",
        "outputId": "ffb94f43-18a4-489c-b786-3bc2177de0ae"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "'pages' argument isn't specified.Will extract only from page 1 by default.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\"\",mpg,cyl,disp,hp,drat,wt,qsec,vs,am,gear,carb\n",
            "Mazda RX4,21.0,6,160.0,110,3.90,2.620,16.46,0,1,4,4\n",
            "Mazda RX4 Wag,21.0,6,160.0,110,3.90,2.875,17.02,0,1,4,4\n",
            "Datsun 710,22.8,4,108.0,93,3.85,2.320,18.61,1,1,4,1\n",
            "Hornet 4 Drive,21.4,6,258.0,110,3.08,3.215,19.44,1,0,3,1\n",
            "Hornet Sportabout,18.7,8,360.0,175,3.15,3.440,17.02,0,0,3,2\n",
            "Valiant,18.1,6,225.0,105,2.76,3.460,20.22,1,0,3,1\n",
            "Duster 360,14.3,8,360.0,245,3.21,3.570,15.84,0,0,3,4\n",
            "Merc 240D,24.4,4,146.7,62,3.69,3.190,20.00,1,0,4,2\n",
            "Merc 230,22.8,4,140.8,95,3.92,3.150,22.90,1,0,4,2\n",
            "Merc 280,19.2,6,167.6,123,3.92,3.440,18.30,1,0,4,4\n",
            "Merc 280C,17.8,6,167.6,123,3.92,3.440,18.90,1,0,4,4\n",
            "Merc 450SE,16.4,8,275.8,180,3.07,4.070,17.40,0,0,3,3\n",
            "Merc 450SL,17.3,8,275.8,180,3.07,3.730,17.60,0,0,3,3\n",
            "Merc 450SLC,15.2,8,275.8,180,3.07,3.780,18.00,0,0,3,3\n",
            "Cadillac Fleetwood,10.4,8,472.0,205,2.93,5.250,17.98,0,0,3,4\n",
            "Lincoln Continental,10.4,8,460.0,215,3.00,5.424,17.82,0,0,3,4\n",
            "Chrysler Imperial,14.7,8,440.0,230,3.23,5.345,17.42,0,0,3,4\n",
            "Fiat 128,32.4,4,78.7,66,4.08,2.200,19.47,1,1,4,1\n",
            "Honda Civic,30.4,4,75.7,52,4.93,1.615,18.52,1,1,4,2\n",
            "Toyota Corolla,33.9,4,71.1,65,4.22,1.835,19.90,1,1,4,1\n",
            "Toyota Corona,21.5,4,120.1,97,3.70,2.465,20.01,1,0,3,1\n",
            "Dodge Challenger,15.5,8,318.0,150,2.76,3.520,16.87,0,0,3,2\n",
            "AMC Javelin,15.2,8,304.0,150,3.15,3.435,17.30,0,0,3,2\n",
            "Camaro Z28,13.3,8,350.0,245,3.73,3.840,15.41,0,0,3,4\n",
            "Pontiac Firebird,19.2,8,400.0,175,3.08,3.845,17.05,0,0,3,2\n",
            "Fiat X1-9,27.3,4,79.0,66,4.08,1.935,18.90,1,1,4,1\n",
            "Porsche 914-2,26.0,4,120.3,91,4.43,2.140,16.70,0,1,5,2\n",
            "Lotus Europa,30.4,4,95.1,113,3.77,1.513,16.90,1,1,5,2\n",
            "Ford Pantera L,15.8,8,351.0,264,4.22,3.170,14.50,0,1,5,4\n",
            "Ferrari Dino,19.7,6,145.0,175,3.62,2.770,15.50,0,1,5,6\n",
            "Maserati Bora,15.0,8,301.0,335,3.54,3.570,14.60,0,1,5,8\n",
            "Volvo 142E,21.4,4,121.0,109,4.11,2.780,18.60,1,1,4,2\n"
          ]
        }
      ],
      "source": [
        "tabula.convert_into(pdf_path, \"test.csv\", output_format=\"csv\", stream=True)\n",
        "!cat test.csv"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "W8HrDTruu-mb"
      },
      "source": [
        "## Use lattice mode for more accurate extraction for spreadsheet style tables\n",
        "\n",
        "If your tables have lines separating cells, you can use `lattice` option. By default, tabula-py sets `guess=True`, which is the same behavior for default of tabula app. If your tables don't have separation lines, you can try `stream` option.\n",
        "\n",
        "As it mentioned, try tabula app before struglling with tabula-py option. Or, [PDFplumber](https://github.com/jsvine/pdfplumber) can be an alternative since it has different extraction strategy."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        },
        "colab_type": "code",
        "id": "_g4_QK0SnfV4",
        "outputId": "f1a66bc7-c90e-470c-d62a-a3d4a35bfaf1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr th {\n",
              "        text-align: left;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>Improved operation scenario</th>\n",
              "      <th>Unnamed: 1_level_0</th>\n",
              "      <th>Unnamed: 2_level_0</th>\n",
              "      <th>Unnamed: 3_level_0</th>\n",
              "      <th>Unnamed: 4_level_0</th>\n",
              "      <th>Unnamed: 5_level_0</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>Volume servers in:</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Server closets</td>\n",
              "      <td>1,505</td>\n",
              "      <td>1,580</td>\n",
              "      <td>1,643</td>\n",
              "      <td>1,673</td>\n",
              "      <td>1,689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Server rooms</td>\n",
              "      <td>1,512</td>\n",
              "      <td>1,586</td>\n",
              "      <td>1,646</td>\n",
              "      <td>1,677</td>\n",
              "      <td>1,693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Localized data centers</td>\n",
              "      <td>1,512</td>\n",
              "      <td>1,586</td>\n",
              "      <td>1,646</td>\n",
              "      <td>1,677</td>\n",
              "      <td>1,693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Mid-tier data centers</td>\n",
              "      <td>1,512</td>\n",
              "      <td>1,586</td>\n",
              "      <td>1,646</td>\n",
              "      <td>1,677</td>\n",
              "      <td>1,693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Enterprise-class data centers</td>\n",
              "      <td>1,512</td>\n",
              "      <td>1,586</td>\n",
              "      <td>1,646</td>\n",
              "      <td>1,677</td>\n",
              "      <td>1,693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Best practice scenario</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Volume servers in:</td>\n",
              "      <td>2007</td>\n",
              "      <td>2008</td>\n",
              "      <td>2009</td>\n",
              "      <td>2010</td>\n",
              "      <td>2011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Server closets</td>\n",
              "      <td>1,456</td>\n",
              "      <td>1,439</td>\n",
              "      <td>1,386</td>\n",
              "      <td>1,296</td>\n",
              "      <td>1,326</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Server rooms</td>\n",
              "      <td>1,465</td>\n",
              "      <td>1,472</td>\n",
              "      <td>1,427</td>\n",
              "      <td>1,334</td>\n",
              "      <td>1,371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Localized data centers</td>\n",
              "      <td>1,465</td>\n",
              "      <td>1,471</td>\n",
              "      <td>1,426</td>\n",
              "      <td>1,334</td>\n",
              "      <td>1,371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Mid-tier data centers</td>\n",
              "      <td>1,465</td>\n",
              "      <td>1,471</td>\n",
              "      <td>1,426</td>\n",
              "      <td>1,334</td>\n",
              "      <td>1,371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Enterprise-class data centers</td>\n",
              "      <td>1,465</td>\n",
              "      <td>1,471</td>\n",
              "      <td>1,426</td>\n",
              "      <td>1,334</td>\n",
              "      <td>1,371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>State-of-the-art scenario</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Volume servers in:</td>\n",
              "      <td>2007</td>\n",
              "      <td>2008</td>\n",
              "      <td>2009</td>\n",
              "      <td>2010</td>\n",
              "      <td>2011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Server closets</td>\n",
              "      <td>1,485</td>\n",
              "      <td>1,471</td>\n",
              "      <td>1,424</td>\n",
              "      <td>1,315</td>\n",
              "      <td>1,349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Server rooms</td>\n",
              "      <td>1,495</td>\n",
              "      <td>1,573</td>\n",
              "      <td>1,586</td>\n",
              "      <td>1,424</td>\n",
              "      <td>1,485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Localized data centers</td>\n",
              "      <td>1,495</td>\n",
              "      <td>1,572</td>\n",
              "      <td>1,585</td>\n",
              "      <td>1,424</td>\n",
              "      <td>1,485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Mid-tier data centers</td>\n",
              "      <td>1,495</td>\n",
              "      <td>1,572</td>\n",
              "      <td>1,585</td>\n",
              "      <td>1,424</td>\n",
              "      <td>1,485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Enterprise-class data centers</td>\n",
              "      <td>1,495</td>\n",
              "      <td>1,572</td>\n",
              "      <td>1,585</td>\n",
              "      <td>1,424</td>\n",
              "      <td>1,485</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      Improved operation scenario Unnamed: 1_level_0 Unnamed: 2_level_0  \\\n",
              "               Volume servers in:               2007               2008   \n",
              "0                  Server closets              1,505              1,580   \n",
              "1                    Server rooms              1,512              1,586   \n",
              "2          Localized data centers              1,512              1,586   \n",
              "3           Mid-tier data centers              1,512              1,586   \n",
              "4   Enterprise-class data centers              1,512              1,586   \n",
              "5          Best practice scenario                NaN                NaN   \n",
              "6              Volume servers in:               2007               2008   \n",
              "7                  Server closets              1,456              1,439   \n",
              "8                    Server rooms              1,465              1,472   \n",
              "9          Localized data centers              1,465              1,471   \n",
              "10          Mid-tier data centers              1,465              1,471   \n",
              "11  Enterprise-class data centers              1,465              1,471   \n",
              "12      State-of-the-art scenario                NaN                NaN   \n",
              "13             Volume servers in:               2007               2008   \n",
              "14                 Server closets              1,485              1,471   \n",
              "15                   Server rooms              1,495              1,573   \n",
              "16         Localized data centers              1,495              1,572   \n",
              "17          Mid-tier data centers              1,495              1,572   \n",
              "18  Enterprise-class data centers              1,495              1,572   \n",
              "\n",
              "   Unnamed: 3_level_0 Unnamed: 4_level_0 Unnamed: 5_level_0  \n",
              "                 2009               2010               2011  \n",
              "0               1,643              1,673              1,689  \n",
              "1               1,646              1,677              1,693  \n",
              "2               1,646              1,677              1,693  \n",
              "3               1,646              1,677              1,693  \n",
              "4               1,646              1,677              1,693  \n",
              "5                 NaN                NaN                NaN  \n",
              "6                2009               2010               2011  \n",
              "7               1,386              1,296              1,326  \n",
              "8               1,427              1,334              1,371  \n",
              "9               1,426              1,334              1,371  \n",
              "10              1,426              1,334              1,371  \n",
              "11              1,426              1,334              1,371  \n",
              "12                NaN                NaN                NaN  \n",
              "13               2009               2010               2011  \n",
              "14              1,424              1,315              1,349  \n",
              "15              1,586              1,424              1,485  \n",
              "16              1,585              1,424              1,485  \n",
              "17              1,585              1,424              1,485  \n",
              "18              1,585              1,424              1,485  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pdf_path3 = \"https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/spanning_cells.pdf\"\n",
        "dfs = tabula.read_pdf(\n",
        "    pdf_path3,\n",
        "    pages=\"1\",\n",
        "    lattice=True,\n",
        "    pandas_options={\"header\": [0, 1]},\n",
        "    area=[0, 0, 50, 100],\n",
        "    relative_area=True,\n",
        "    multiple_tables=False,\n",
        ")\n",
        "dfs[0]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RGW2EtKkwXl6"
      },
      "source": [
        "## Use tabula app template\n",
        "\n",
        "tabula-py can handle tabula app template, which has area options set by GUI app to reuse."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "colab_type": "code",
        "id": "IVcltBwUvcAc",
        "outputId": "5e6e2778-4eea-49af-97b2-540b7e3394d1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[             Unnamed: 0   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  \\\n",
              " 0             Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1   \n",
              " 1         Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1   \n",
              " 2            Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1   \n",
              " 3        Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0   \n",
              " 4     Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0   \n",
              " 5               Valiant  18.1    6  225.0  105  2.76  3.460  20.22   1   0   \n",
              " 6            Duster 360  14.3    8  360.0  245  3.21  3.570  15.84   0   0   \n",
              " 7             Merc 240D  24.4    4  146.7   62  3.69  3.190  20.00   1   0   \n",
              " 8              Merc 230  22.8    4  140.8   95  3.92  3.150  22.90   1   0   \n",
              " 9              Merc 280  19.2    6  167.6  123  3.92  3.440  18.30   1   0   \n",
              " 10            Merc 280C  17.8    6  167.6  123  3.92  3.440  18.90   1   0   \n",
              " 11           Merc 450SE  16.4    8  275.8  180  3.07  4.070  17.40   0   0   \n",
              " 12           Merc 450SL  17.3    8  275.8  180  3.07  3.730  17.60   0   0   \n",
              " 13          Merc 450SLC  15.2    8  275.8  180  3.07  3.780  18.00   0   0   \n",
              " 14   Cadillac Fleetwood  10.4    8  472.0  205  2.93  5.250  17.98   0   0   \n",
              " 15  Lincoln Continental  10.4    8  460.0  215  3.00  5.424  17.82   0   0   \n",
              " 16    Chrysler Imperial  14.7    8  440.0  230  3.23  5.345  17.42   0   0   \n",
              " 17             Fiat 128  32.4    4   78.7   66  4.08  2.200  19.47   1   1   \n",
              " 18          Honda Civic  30.4    4   75.7   52  4.93  1.615  18.52   1   1   \n",
              " 19       Toyota Corolla  33.9    4   71.1   65  4.22  1.835  19.90   1   1   \n",
              " 20        Toyota Corona  21.5    4  120.1   97  3.70  2.465  20.01   1   0   \n",
              " 21     Dodge Challenger  15.5    8  318.0  150  2.76  3.520  16.87   0   0   \n",
              " 22          AMC Javelin  15.2    8  304.0  150  3.15  3.435  17.30   0   0   \n",
              " 23           Camaro Z28  13.3    8  350.0  245  3.73  3.840  15.41   0   0   \n",
              " 24     Pontiac Firebird  19.2    8  400.0  175  3.08  3.845  17.05   0   0   \n",
              " 25            Fiat X1-9  27.3    4   79.0   66  4.08  1.935  18.90   1   1   \n",
              " 26        Porsche 914-2  26.0    4  120.3   91  4.43  2.140  16.70   0   1   \n",
              " 27         Lotus Europa  30.4    4   95.1  113  3.77  1.513  16.90   1   1   \n",
              " 28       Ford Pantera L  15.8    8  351.0  264  4.22  3.170  14.50   0   1   \n",
              " 29         Ferrari Dino  19.7    6  145.0  175  3.62  2.770  15.50   0   1   \n",
              " 30        Maserati Bora  15.0    8  301.0  335  3.54  3.570  14.60   0   1   \n",
              " 31           Volvo 142E  21.4    4  121.0  109  4.11  2.780  18.60   1   1   \n",
              " \n",
              "     gear  carb  \n",
              " 0      4     4  \n",
              " 1      4     4  \n",
              " 2      4     1  \n",
              " 3      3     1  \n",
              " 4      3     2  \n",
              " 5      3     1  \n",
              " 6      3     4  \n",
              " 7      4     2  \n",
              " 8      4     2  \n",
              " 9      4     4  \n",
              " 10     4     4  \n",
              " 11     3     3  \n",
              " 12     3     3  \n",
              " 13     3     3  \n",
              " 14     3     4  \n",
              " 15     3     4  \n",
              " 16     3     4  \n",
              " 17     4     1  \n",
              " 18     4     2  \n",
              " 19     4     1  \n",
              " 20     3     1  \n",
              " 21     3     2  \n",
              " 22     3     2  \n",
              " 23     3     4  \n",
              " 24     3     2  \n",
              " 25     4     1  \n",
              " 26     5     2  \n",
              " 27     5     2  \n",
              " 28     5     4  \n",
              " 29     5     6  \n",
              " 30     5     8  \n",
              " 31     4     2  ,\n",
              "    Unnamed: 0  Sepal.Width  Petal.Length  Petal.Width Species\n",
              " 0         5.1          3.5           1.4          0.2  setosa\n",
              " 1         4.9          3.0           1.4          0.2  setosa\n",
              " 2         4.7          3.2           1.3          0.2  setosa\n",
              " 3         4.6          3.1           1.5          0.2  setosa\n",
              " 4         5.0          3.6           1.4          0.2  setosa,\n",
              "    Unnamed: 0  Sepal.Length  Sepal.Width  Petal.Length  Petal.Width    Species\n",
              " 0         145           6.7          3.3           5.7          2.5  virginica\n",
              " 1         146           6.7          3.0           5.2          2.3  virginica\n",
              " 2         147           6.3          2.5           5.0          1.9  virginica\n",
              " 3         148           6.5          3.0           5.2          2.0  virginica\n",
              " 4         149           6.2          3.4           5.4          2.3  virginica,\n",
              "     Unnamed: 0 supp  dose\n",
              " 0          4.2   VC   0.5\n",
              " 1         11.5   VC   0.5\n",
              " 2          7.3   VC   0.5\n",
              " 3          5.8   VC   0.5\n",
              " 4          6.4   VC   0.5\n",
              " 5         10.0   VC   0.5\n",
              " 6         11.2   VC   0.5\n",
              " 7         11.2   VC   0.5\n",
              " 8          5.2   VC   0.5\n",
              " 9          7.0   VC   0.5\n",
              " 10        16.5   VC   1.0\n",
              " 11        16.5   VC   1.0\n",
              " 12        15.2   VC   1.0\n",
              " 13        17.3   VC   1.0]"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "template_path = \"https://github.com/chezou/tabula-py/raw/master/tests/resources/data.tabula-template.json\"\n",
        "tabula.read_pdf_with_template(pdf_path, template_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "i0Jxoh9ZSRyv"
      },
      "source": [
        "If you have any question, ask on [StackOverflow](https://stackoverflow.com/search?q=tabula-py)."
      ]
    }
  ],
  "metadata": {
    "colab": {
      "include_colab_link": true,
      "name": "tabula_example.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
